lme_mods_kin_eeg_speed

Packages & Setup

# install.packages(c("tidyverse","purrr","R.matlab","readxl","dplyr"))
library(readxl);
library(purrr)
library(tidyverse);

## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
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## ✔ ggplot2   3.5.0     ✔ tibble    3.2.1
## ✔ lubridate 1.9.3     ✔ tidyr     1.3.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
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## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

library(tibble);
library(knitr);
library(gtsummary);

## #Uighur

library(kableExtra);

## 
## Attaching package: 'kableExtra'
## 
## The following object is masked from 'package:dplyr':
## 
##     group_rows

library(lme4);

## Loading required package: Matrix
## 
## Attaching package: 'Matrix'
## 
## The following objects are masked from 'package:tidyr':
## 
##     expand, pack, unpack

library(MuMIn);

GTSUMMARY THEME

# my_theme <-
#   list(
#     "tbl_summary-str:default_con_type" = "continuous2",
#     "tbl_summary-str:continuous_stat" = c(
#       "{median} ({p25} - {p75})",
#       "{mean} ({sd})",
#       "{min} - {max}"
#     ),
#     "tbl_summary-str:categorical_stat" = "{n} / {N} ({p}%)",
#     "style_number-arg:big.mark" = "",
#     "tbl_summary-fn:percent_fun" = function(x) style_percent(x, digits = 3)
#   )
# my_theme <-
#   list()
# gtsummary::set_gtsummary_theme(my_theme)
gtsummary::set_gtsummary_theme(theme_gtsummary_journal("jama"))

## Setting theme `JAMA`
## Setting theme `JAMA`

# reset_gtsummary_theme()

load table

# excel_dir <-"M:/jsalminen/GitHub/par_EEGProcessing/src/_data/MIM_dataset/_studies/04162024_MIM_YAOAN89_antsnormalize_iccREMG0p4_powpow0p3_skull0p01/cluster/icrej_5/12/spec_data/group_spec/psd_calcs/fooof_kinematics_table.xlsx";
excel_dir <-"M:/jsalminen/GitHub/par_EEGProcessing/src/_data/MIM_dataset/_studies/04232024_MIM_YAOAN89_antsnorm_dipfix_iccREMG0p4_powpow0p3_skull0p01_15mmrej/cluster/icrej_5/11/spec_data/group_spec/psd_calcs/fooof_kinematics_table_nans.xlsx";
eegt <- read_excel(excel_dir,sheet="Sheet1") 

get unique entries

#%% KIN PARAMS
kin_measures = c('mean_APexc_COV','mean_APexc_mean','mean_MLexc_COV','mean_MLexc_mean','mean_StepDur','mean_StepDur_cov','mean_UDexc_COV','mean_UDexc_mean','mean_StanceDur','mean_GaitCycleDur','mean_PeakUpDownVel_mean');
kin_title_chars = c("AP Exc. COV","AP Exc. Mean","ML Exc. COV","ML Exc. Mean","Step Dur.","Step Dur. COV","UD Exc. COV","UD Exc Mean","Stance Dur.","Gait Cycle Dur.","Peak UD Vel. Mean")
# kin_inds_plot = c(1:length(kin_measures));
kin_inds_plot = c(1,3,6,5,7);
#%% EEG PARAMS
clusters = unique(eegt$cluster_id);
subjects = unique(eegt$subj_char);
groups = unique(eegt$group_char);
# eeg_measures = c('theta_avg_power','alpha_avg_power','beta_avg_power','beta_div_theta','theta_div_beta','log_beta_div_theta','log_theta_div_beta','aperiodic_exp','aperiodic_offset');
# eeg_title_chars = c("**THETA**","**ALPHA**","**BETA**","**BETA/THETA**","**THETA/BETA**","**log10(BETA/THETA)**","**log10(THETA/BETA)**","**AP exp**","**AP offset**");
eeg_measures = c('theta_avg_power','alpha_avg_power','beta_avg_power','theta_div_beta','log_theta_div_beta','aperiodic_exp','aperiodic_offset');
eeg_title_chars = c("**THETA**","**ALPHA**","**BETA**","**THETA/BETA**","**log10(THETA/BETA)**","**AP exp**","**AP offset**");
# eeg_inds_plot = c(1:length(eeg_title_chars));
eeg_inds_plot = c(1,2,3);
cluster_inds_plot = c(10,5,2,6,9);

get speeds only

eegt <- filter_at(eegt,vars('cond_char'), any_vars(. %in% c('0.25','0.5','0.75','1.0')))
flat_speeds = unique(eegt$cond_char)
eegt$cond_char <- as.numeric(eegt$cond_char)
eegt$speed_cond_num <- as.numeric(eegt$cond_char)
eegt <- mutate(eegt,across(c('subj_char'), factor))
eegt <- mutate(eegt,across(c('group_char'), factor))
eegt$speed_ord <- cut(eegt$cond_char, 4, ordered = TRUE)
eegt <- mutate(eegt,across(c('cond_char'), factor))
eegt$group_speed_code = paste(eegt$group_char,eegt$cond_char,sep="_")
head(eegt)

create ratios

Log <- function(x, base = exp(1)) {
  LOG <- base::log(as.complex(x), base = base)
  if (all(Im(LOG) == 0)) { LOG <- Re(LOG) }
  LOG }
#%% CALCS
eegt <- eegt%>%
  mutate(beta_div_theta=beta_avg_power/theta_avg_power)
eegt <- eegt%>%
  mutate(theta_div_beta=theta_avg_power/beta_avg_power)
# eegt <- eegt%>%
#   mutate(log_beta_div_theta=log10(beta_avg_power/theta_avg_power+max(abs(beta_avg_power/theta_avg_power))))
# eegt <- eegt%>%
#   mutate(log_theta_div_beta=log10(theta_avg_power/beta_avg_power+max(abs(theta_avg_power/beta_avg_power))))
# eegt <- eegt%>%
#   mutate(log_beta_div_theta=log10(beta_avg_power/theta_avg_power+mean(abs(beta_avg_power/theta_avg_power))/(mean(abs(beta_avg_power/theta_avg_power))+3*sd(abs(beta_avg_power/theta_avg_power)))));
# eegt <- eegt%>%
#   mutate(log_theta_div_beta=log10(theta_avg_power/beta_avg_power+mean(abs(theta_avg_power/beta_avg_power))/(mean(abs(theta_avg_power/beta_avg_power))+3*sd(abs(theta_avg_power/beta_avg_power)))));
# eegt <- eegt%>%
#   mutate(log_beta_div_theta=log10((beta_avg_power/theta_avg_power)+abs(min((beta_avg_power/theta_avg_power)))));
# eegt <- eegt%>%
#   mutate(log_theta_div_beta=log10((theta_avg_power/beta_avg_power)+abs(min((theta_avg_power/beta_avg_power)))));
# eegt <- eegt%>%
#   mutate(log_beta_div_theta=Re(Log((beta_avg_power/theta_avg_power),10)*Conj(Log((theta_avg_power/beta_avg_power),10))));
# eegt <- eegt%>%
#   mutate(log_theta_div_beta=Re(Log((theta_avg_power/beta_avg_power),10)*Conj(Log((theta_avg_power/beta_avg_power),10))));
eegt <- eegt%>%
  mutate(log_beta_div_theta=Re(Log((beta_avg_power/theta_avg_power),10)));
eegt <- eegt%>%
  mutate(log_theta_div_beta=Re(Log((theta_avg_power/beta_avg_power),10)));

EEG TESTS: SPEED, GROUP, INTERACTION

LME EEG ~ 1+speed+group+speed:group

Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.78 (0.42 to 1.1)	<0.001	<0.001	1.4 (0.45 to 2.3)	0.003	0.013	1.7 (0.89 to 2.5)	<0.001	<0.001
speed_cond_num	0.17 (-0.08 to 0.42)	0.19	0.26	-0.18 (-0.53 to 0.17)	0.32	0.64	-0.18 (-0.41 to 0.05)	0.12	0.16
group_char		0.085	0.17		0.70	0.70		0.055	0.11
H1000’s	—			—			—
H2000’s	-0.45 (-1.0 to 0.09)			-0.27 (-1.6 to 1.1)			0.59 (-0.61 to 1.8)
H3000’s	-0.55 (-1.1 to -0.04)			0.31 (-0.95 to 1.6)			1.4 (0.25 to 2.5)
speed_cond_num * group_char		0.32	0.32		0.48	0.64		0.27	0.27
speed_cond_num * H2000’s	0.28 (-0.10 to 0.65)			0.30 (-0.22 to 0.82)			0.06 (-0.28 to 0.40)
speed_cond_num * H3000’s	0.07 (-0.28 to 0.42)			0.03 (-0.47 to 0.52)			-0.20 (-0.52 to 0.12)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0719, R2c: 0.8523

alpha_avg_power R2m: 0.0076, R2c: 0.952

beta_avg_power R2m: 0.0754, R2c: 0.9762

## Warning: There was 1 warning in `mutate()`.
## ℹ In argument: `mod = `%>%`(...)`.
## ℹ In row 1.
## Caused by warning:
## ! 'r.squaredGLMM' now calculates a revised statistic. See the help page.

## Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.

Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.34 (0.07 to 0.60)	0.014	0.028	2.6 (1.6 to 3.7)	<0.001	<0.001	2.6 (1.9 to 3.3)	<0.001	<0.001
speed_cond_num	0.20 (0.04 to 0.36)	0.012	0.028	-0.16 (-0.63 to 0.31)	0.52	0.69	-0.33 (-0.58 to -0.08)	0.011	0.022
group_char		0.046	0.062		0.83	0.83		0.028	0.038
H1000’s	—			—			—
H2000’s	-0.53 (-0.97 to -0.10)			-0.14 (-1.9 to 1.6)			0.86 (-0.26 to 2.0)
H3000’s	-0.32 (-0.70 to 0.07)			0.37 (-1.2 to 1.9)			1.3 (0.35 to 2.3)
speed_cond_num * group_char		0.43	0.43		0.19	0.37		0.26	0.26
speed_cond_num * H2000’s	0.14 (-0.11 to 0.40)			-0.48 (-1.2 to 0.28)			-0.25 (-0.66 to 0.16)
speed_cond_num * H3000’s	-0.02 (-0.24 to 0.21)			-0.61 (-1.3 to 0.07)			-0.28 (-0.65 to 0.08)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0786, R2c: 0.8963

alpha_avg_power R2m: 0.0079, R2c: 0.9373

beta_avg_power R2m: 0.0805, R2c: 0.9609

Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.38 (0.15 to 0.61)	0.001	0.004	3.6 (2.7 to 4.6)	<0.001	<0.001	2.4 (1.8 to 3.1)	<0.001	<0.001
speed_cond_num	0.08 (-0.09 to 0.24)	0.38	0.50	-0.29 (-0.66 to 0.08)	0.12	0.24	-0.18 (-0.39 to 0.03)	0.10	0.10
group_char		0.13	0.26		0.76	0.76		0.024	0.033
H1000’s	—			—			—
H2000’s	-0.28 (-0.64 to 0.07)			-0.46 (-1.9 to 1.0)			0.46 (-0.49 to 1.4)
H3000’s	-0.31 (-0.65 to 0.02)			-0.46 (-1.9 to 0.94)			1.3 (0.35 to 2.2)
speed_cond_num * group_char		0.83	0.83		0.18	0.24		0.008	0.016
speed_cond_num * H2000’s	0.05 (-0.21 to 0.31)			0.00 (-0.57 to 0.57)			-0.09 (-0.42 to 0.24)
speed_cond_num * H3000’s	-0.03 (-0.28 to 0.22)			-0.46 (-1.0 to 0.08)			-0.48 (-0.79 to -0.16)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.54 (NA to NA)			0.31 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0637, R2c: 0.8253

alpha_avg_power R2m: 0.0199, R2c: 0.9533

beta_avg_power R2m: 0.0647, R2c: 0.9651

Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.44 (0.13 to 0.75)	0.005	0.021	4.0 (3.0 to 4.9)	<0.001	<0.001	2.4 (1.9 to 2.9)	<0.001	<0.001
speed_cond_num	0.11 (-0.03 to 0.25)	0.12	0.25	-0.04 (-0.42 to 0.33)	0.82	0.93	-0.04 (-0.23 to 0.15)	0.65	0.65
group_char		0.50	0.66		0.93	0.93		0.46	0.61
H1000’s	—			—			—
H2000’s	-0.26 (-0.75 to 0.23)			-0.20 (-1.7 to 1.3)			0.41 (-0.37 to 1.2)
H3000’s	0.02 (-0.46 to 0.50)			-0.25 (-1.7 to 1.2)			0.41 (-0.35 to 1.2)
speed_cond_num * group_char		0.69	0.69		0.60	0.93		0.12	0.24
speed_cond_num * H2000’s	0.09 (-0.13 to 0.31)			-0.25 (-0.84 to 0.35)			-0.20 (-0.50 to 0.10)
speed_cond_num * H3000’s	0.06 (-0.16 to 0.28)			-0.26 (-0.84 to 0.32)			-0.30 (-0.59 to 0.00)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0174, R2c: 0.9358

alpha_avg_power R2m: 0.0062, R2c: 0.9494

beta_avg_power R2m: 0.0109, R2c: 0.9536

Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.88 (0.50 to 1.3)	<0.001	<0.001	1.3 (0.70 to 1.9)	<0.001	<0.001	0.80 (0.34 to 1.3)	<0.001	0.003
speed_cond_num	0.46 (0.25 to 0.67)	<0.001	<0.001	-0.07 (-0.47 to 0.33)	0.73	0.73	-0.11 (-0.30 to 0.07)	0.24	0.24
group_char		0.051	0.067		0.35	0.70		0.024	0.048
H1000’s	—			—			—
H2000’s	-0.59 (-1.1 to -0.03)			0.11 (-0.77 to 0.99)			0.72 (0.04 to 1.4)
H3000’s	-0.60 (-1.2 to -0.05)			0.62 (-0.26 to 1.5)			0.88 (0.20 to 1.6)
speed_cond_num * group_char		0.47	0.47		0.69	0.73		0.24	0.24
speed_cond_num * H2000’s	-0.19 (-0.50 to 0.11)			-0.24 (-0.82 to 0.33)			-0.23 (-0.50 to 0.04)
speed_cond_num * H3000’s	-0.09 (-0.39 to 0.22)			-0.18 (-0.75 to 0.40)			-0.16 (-0.43 to 0.11)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1341, R2c: 0.9152

alpha_avg_power R2m: 0.0337, R2c: 0.8614

beta_avg_power R2m: 0.0919, R2c: 0.9544

LME EEG ~ 1+speed+group

Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.72 (0.38 to 1.1)	<0.001	<0.001	1.3 (0.41 to 2.2)	0.004	0.012	1.7 (0.93 to 2.5)	<0.001	<0.001
speed_cond_num	0.27 (0.12 to 0.42)	<0.001	<0.001	-0.08 (-0.29 to 0.13)	0.44	0.65	-0.24 (-0.37 to -0.10)	<0.001	<0.001
group_char		0.10	0.10		0.80	0.80		0.087	0.087
H1000’s	—			—			—
H2000’s	-0.28 (-0.77 to 0.21)			-0.08 (-1.4 to 1.2)			0.62 (-0.55 to 1.8)
H3000’s	-0.50 (-0.96 to -0.04)			0.33 (-0.90 to 1.5)			1.2 (0.14 to 2.3)
subj_char.sd__(Intercept)	0.75 (NA to NA)			2.0 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0706, R2c: 0.8519

alpha_avg_power R2m: 0.0073, R2c: 0.9522

beta_avg_power R2m: 0.0751, R2c: 0.9761

Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.32 (0.06 to 0.58)	0.015	0.023	2.8 (1.8 to 3.9)	<0.001	<0.001	2.7 (2.1 to 3.4)	<0.001	<0.001
speed_cond_num	0.23 (0.13 to 0.33)	<0.001	<0.001	-0.50 (-0.79 to -0.20)	0.001	0.002	-0.49 (-0.65 to -0.34)	<0.001	<0.001
group_char		0.063	0.063		0.85	0.85		0.060	0.060
H1000’s	—			—			—
H2000’s	-0.44 (-0.85 to -0.04)			-0.44 (-2.1 to 1.2)			0.71 (-0.39 to 1.8)
H3000’s	-0.33 (-0.68 to 0.03)			-0.01 (-1.5 to 1.4)			1.2 (0.20 to 2.1)
subj_char.sd__(Intercept)	0.64 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0781, R2c: 0.8964

alpha_avg_power R2m: 0.0071, R2c: 0.9369

beta_avg_power R2m: 0.0802, R2c: 0.9608

Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.38 (0.17 to 0.59)	<0.001	0.001	3.7 (2.8 to 4.7)	<0.001	<0.001	2.6 (1.9 to 3.2)	<0.001	<0.001
speed_cond_num	0.08 (-0.02 to 0.19)	0.12	0.12	-0.45 (-0.68 to -0.22)	<0.001	<0.001	-0.36 (-0.50 to -0.23)	<0.001	<0.001
group_char		0.073	0.11		0.55	0.55		0.11	0.11
H1000’s	—			—			—
H2000’s	-0.25 (-0.56 to 0.06)			-0.46 (-1.9 to 0.98)			0.41 (-0.53 to 1.3)
H3000’s	-0.33 (-0.63 to -0.03)			-0.75 (-2.1 to 0.61)			0.96 (0.07 to 1.8)
subj_char.sd__(Intercept)	0.51 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.32 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0636, R2c: 0.8266

alpha_avg_power R2m: 0.0193, R2c: 0.9529

beta_avg_power R2m: 0.0634, R2c: 0.9638

Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.41 (0.11 to 0.72)	0.007	0.011	4.1 (3.1 to 5.0)	<0.001	<0.001	2.5 (2.0 to 3.0)	<0.001	<0.001
speed_cond_num	0.15 (0.06 to 0.24)	<0.001	0.003	-0.19 (-0.43 to 0.05)	0.12	0.19	-0.19 (-0.31 to -0.07)	0.003	0.004
group_char		0.57	0.57		0.81	0.81		0.72	0.72
H1000’s	—			—			—
H2000’s	-0.20 (-0.67 to 0.27)			-0.36 (-1.8 to 1.1)			0.29 (-0.47 to 1.0)
H3000’s	0.06 (-0.40 to 0.51)			-0.42 (-1.8 to 0.98)			0.22 (-0.51 to 0.96)
subj_char.sd__(Intercept)	0.83 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0173, R2c: 0.9362

alpha_avg_power R2m: 0.006, R2c: 0.9496

beta_avg_power R2m: 0.0102, R2c: 0.9531

Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.94 (0.57 to 1.3)	<0.001	<0.001	1.4 (0.82 to 2.0)	<0.001	<0.001	0.88 (0.42 to 1.3)	<0.001	<0.001
speed_cond_num	0.37 (0.24 to 0.49)	<0.001	<0.001	-0.20 (-0.44 to 0.03)	0.090	0.13	-0.24 (-0.35 to -0.12)	<0.001	<0.001
group_char		0.012	0.012		0.34	0.34		0.052	0.052
H1000’s	—			—			—
H2000’s	-0.71 (-1.2 to -0.18)			-0.04 (-0.85 to 0.76)			0.58 (-0.08 to 1.2)
H3000’s	-0.66 (-1.2 to -0.13)			0.51 (-0.30 to 1.3)			0.78 (0.12 to 1.4)
subj_char.sd__(Intercept)	0.83 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.1337, R2c: 0.9153

alpha_avg_power R2m: 0.0333, R2c: 0.8622

beta_avg_power R2m: 0.0913, R2c: 0.9542

KINEMATIC TESTS: SPEED, KIN, INTERACTION

a) LME speed ~ 1+kin

Cluster: 12
Characteristic	AP Exc. COV			ML Exc. COV			Step Dur. COV			Step Dur.			UD Exc. COV
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.78 (0.66 to 0.89)	<0.001	<0.001	0.33 (0.23 to 0.43)	<0.001	<0.001	1.0 (0.97 to 1.1)	<0.001	<0.001	1.3 (1.2 to 1.4)	<0.001	<0.001	1.2 (1.2 to 1.3)	<0.001	<0.001
mean_APexc_COV	-0.01 (-0.01 to 0.00)	0.006	0.006
subj_char.sd__(Intercept)	0.00 (NA to NA)			0.00 (NA to NA)			0.00 (NA to NA)			0.07 (NA to NA)			0.06 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.26 (NA to NA)			0.21 (NA to NA)			0.17 (NA to NA)			0.15 (NA to NA)
mean_MLexc_COV				0.02 (0.01 to 0.03)	<0.001	<0.001
mean_StepDur_cov							-0.08 (-0.09 to -0.07)	<0.001	<0.001
mean_StepDur										-0.84 (-0.92 to -0.75)	<0.001	<0.001
mean_UDexc_COV													-0.04 (-0.05 to -0.04)	<0.001	<0.001
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.0302, R2c: 0.0302

mean_MLexc_COV R2m: 0.14, R2c: 0.14

mean_StepDur_cov R2m: 0.4293, R2c: 0.4293

mean_StepDur R2m: 0.6117, R2c: 0.6662

mean_UDexc_COV R2m: 0.6844, R2c: 0.7317

Cluster: 7
Characteristic	AP Exc. COV			ML Exc. COV			Step Dur. COV			Step Dur.			UD Exc. COV
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.77 (0.67 to 0.88)	<0.001	<0.001	0.31 (0.21 to 0.40)	<0.001	<0.001	1.0 (0.97 to 1.1)	<0.001	<0.001	1.3 (1.3 to 1.4)	<0.001	<0.001	1.2 (1.2 to 1.3)	<0.001	<0.001
mean_APexc_COV	-0.01 (-0.01 to 0.00)	0.004	0.004
subj_char.sd__(Intercept)	0.00 (NA to NA)			0.00 (NA to NA)			0.00 (NA to NA)			0.07 (NA to NA)			0.09 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.26 (NA to NA)			0.21 (NA to NA)			0.16 (NA to NA)			0.15 (NA to NA)
mean_MLexc_COV				0.02 (0.02 to 0.03)	<0.001	<0.001
mean_StepDur_cov							-0.08 (-0.09 to -0.07)	<0.001	<0.001
mean_StepDur										-0.88 (-0.95 to -0.80)	<0.001	<0.001
mean_UDexc_COV													-0.05 (-0.05 to -0.04)	<0.001	<0.001
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.0307, R2c: 0.0307

mean_MLexc_COV R2m: 0.1467, R2c: 0.1467

mean_StepDur_cov R2m: 0.4409, R2c: 0.4409

mean_StepDur R2m: 0.6387, R2c: 0.6985

mean_UDexc_COV R2m: 0.6773, R2c: 0.7618

Cluster: 4
Characteristic	AP Exc. COV			ML Exc. COV			Step Dur. COV			Step Dur.			UD Exc. COV
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.76 (0.66 to 0.87)	<0.001	<0.001	0.36 (0.26 to 0.45)	<0.001	<0.001	1.0 (0.97 to 1.1)	<0.001	<0.001	1.3 (1.2 to 1.4)	<0.001	<0.001	1.2 (1.2 to 1.3)	<0.001	<0.001
mean_APexc_COV	-0.01 (-0.01 to 0.00)	0.008	0.008
subj_char.sd__(Intercept)	0.00 (NA to NA)			0.00 (NA to NA)			0.00 (NA to NA)			0.07 (NA to NA)			0.08 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.26 (NA to NA)			0.21 (NA to NA)			0.17 (NA to NA)			0.16 (NA to NA)
mean_MLexc_COV				0.02 (0.01 to 0.03)	<0.001	<0.001
mean_StepDur_cov							-0.08 (-0.09 to -0.07)	<0.001	<0.001
mean_StepDur										-0.84 (-0.92 to -0.76)	<0.001	<0.001
mean_UDexc_COV													-0.04 (-0.05 to -0.04)	<0.001	<0.001
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.0254, R2c: 0.0254

mean_MLexc_COV R2m: 0.112, R2c: 0.112

mean_StepDur_cov R2m: 0.4205, R2c: 0.4205

mean_StepDur R2m: 0.6054, R2c: 0.6609

mean_UDexc_COV R2m: 0.6615, R2c: 0.7313

Cluster: 8
Characteristic	AP Exc. COV			ML Exc. COV			Step Dur. COV			Step Dur.			UD Exc. COV
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.80 (0.70 to 0.91)	<0.001	<0.001	0.35 (0.26 to 0.44)	<0.001	<0.001	1.0 (0.94 to 1.1)	<0.001	<0.001	1.3 (1.2 to 1.4)	<0.001	<0.001	1.2 (1.2 to 1.3)	<0.001	<0.001
mean_APexc_COV	-0.01 (-0.01 to 0.00)	<0.001	<0.001
subj_char.sd__(Intercept)	0.00 (NA to NA)			0.00 (NA to NA)			0.00 (NA to NA)			0.07 (NA to NA)			0.08 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.26 (NA to NA)			0.22 (NA to NA)			0.17 (NA to NA)			0.14 (NA to NA)
mean_MLexc_COV				0.02 (0.01 to 0.02)	<0.001	<0.001
mean_StepDur_cov							-0.07 (-0.08 to -0.06)	<0.001	<0.001
mean_StepDur										-0.84 (-0.91 to -0.76)	<0.001	<0.001
mean_UDexc_COV													-0.05 (-0.05 to -0.04)	<0.001	<0.001
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.043, R2c: 0.043

mean_MLexc_COV R2m: 0.1205, R2c: 0.1205

mean_StepDur_cov R2m: 0.4078, R2c: 0.4078

mean_StepDur R2m: 0.6185, R2c: 0.6719

mean_UDexc_COV R2m: 0.702, R2c: 0.7707

Cluster: 11
Characteristic	AP Exc. COV			ML Exc. COV			Step Dur. COV			Step Dur.			UD Exc. COV
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.78 (0.67 to 0.89)	<0.001	<0.001	0.27 (0.17 to 0.38)	<0.001	<0.001	1.1 (1.0 to 1.2)	<0.001	<0.001	1.3 (1.2 to 1.4)	<0.001	<0.001	1.3 (1.2 to 1.3)	<0.001	<0.001
mean_APexc_COV	-0.01 (-0.01 to 0.00)	0.003	0.003
subj_char.sd__(Intercept)	0.00 (NA to NA)			0.00 (NA to NA)			0.00 (NA to NA)			0.08 (NA to NA)			0.09 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.26 (NA to NA)			0.21 (NA to NA)			0.18 (NA to NA)			0.13 (NA to NA)
mean_MLexc_COV				0.02 (0.02 to 0.03)	<0.001	<0.001
mean_StepDur_cov							-0.09 (-0.10 to -0.08)	<0.001	<0.001
mean_StepDur										-0.86 (-0.95 to -0.76)	<0.001	<0.001
mean_UDexc_COV													-0.05 (-0.05 to -0.05)	<0.001	<0.001
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

mean_APexc_COV R2m: 0.0367, R2c: 0.0367

mean_MLexc_COV R2m: 0.1658, R2c: 0.1658

mean_StepDur_cov R2m: 0.4563, R2c: 0.4563

mean_StepDur R2m: 0.5688, R2c: 0.6339

mean_UDexc_COV R2m: 0.7229, R2c: 0.8081

EEG TESTS: KINEMATIC, SPEED, INTERACTION

MEDIATION) LME EEG ~ 1+kin+speed+kin:speed

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.38 (-0.04 to 0.80)	0.077	0.15	1.2 (0.46 to 1.9)	0.001	0.005	2.2 (1.6 to 2.8)	<0.001	<0.001
speed_cond_num	0.45 (-0.03 to 0.94)	0.067	0.15	0.12 (-0.56 to 0.80)	0.72	0.72	-0.12 (-0.56 to 0.33)	0.61	0.65
mean_APexc_COV	0.00 (-0.01 to 0.02)	0.65	0.65	0.01 (-0.01 to 0.03)	0.45	0.72	0.01 (-0.01 to 0.02)	0.29	0.59
speed_cond_num * mean_APexc_COV	-0.01 (-0.03 to 0.01)	0.43	0.57	-0.01 (-0.04 to 0.02)	0.57	0.72	0.00 (-0.02 to 0.02)	0.65	0.65
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.8466

alpha_avg_power R2m: 3e-04, R2c: 0.9501

beta_avg_power R2m: 0.0016, R2c: 0.9751

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.25 (-0.15 to 0.66)	0.22	0.26	0.77 (0.06 to 1.5)	0.033	0.065	2.3 (1.7 to 2.9)	<0.001	<0.001
speed_cond_num	0.61 (0.07 to 1.1)	0.027	0.11	0.54 (-0.20 to 1.3)	0.15	0.20	-0.41 (-0.90 to 0.08)	0.10	0.21
mean_APexc_mean	3.9 (-2.0 to 9.8)	0.20	0.26	10 (2.2 to 19)	0.012	0.050	-0.16 (-5.6 to 5.2)	0.95	0.95
speed_cond_num * mean_APexc_mean	-7.1 (-20 to 5.3)	0.26	0.26	-9.7 (-27 to 7.6)	0.27	0.27	5.7 (-5.7 to 17)	0.33	0.44
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.45 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0095, R2c: 0.8474

alpha_avg_power R2m: 0.0024, R2c: 0.9516

beta_avg_power R2m: 0.0016, R2c: 0.9755

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.27 (-0.11 to 0.64)	0.16	0.21	1.1 (0.45 to 1.8)	0.001	0.004	2.4 (1.8 to 2.9)	<0.001	<0.001
speed_cond_num	0.63 (0.12 to 1.2)	0.016	0.065	0.32 (-0.40 to 1.1)	0.38	0.38	-0.30 (-0.77 to 0.18)	0.22	0.44
mean_MLexc_COV	0.01 (-0.01 to 0.04)	0.27	0.27	0.02 (-0.01 to 0.05)	0.23	0.31	0.00 (-0.02 to 0.02)	0.80	0.80
speed_cond_num * mean_MLexc_COV	-0.02 (-0.06 to 0.01)	0.15	0.21	-0.03 (-0.07 to 0.02)	0.22	0.31	0.00 (-0.03 to 0.03)	0.78	0.80
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0098, R2c: 0.8479

alpha_avg_power R2m: 5e-04, R2c: 0.9502

beta_avg_power R2m: 0.0012, R2c: 0.9752

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.79 (0.32 to 1.3)	<0.001	0.004	1.2 (0.43 to 2.0)	0.003	0.010	2.3 (1.7 to 2.9)	<0.001	<0.001
speed_cond_num	0.18 (-0.26 to 0.62)	0.42	0.45	0.26 (-0.36 to 0.88)	0.41	0.41	-0.18 (-0.58 to 0.23)	0.39	0.77
mean_MLexc_mean	-1.9 (-5.1 to 1.3)	0.24	0.45	2.0 (-2.5 to 6.5)	0.39	0.41	0.39 (-2.6 to 3.3)	0.80	0.83
speed_cond_num * mean_MLexc_mean	-2.5 (-9.1 to 4.1)	0.45	0.45	-5.0 (-15 to 4.5)	0.31	0.41	-0.70 (-7.0 to 5.6)	0.83	0.83
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0166, R2c: 0.8516

alpha_avg_power R2m: 5e-04, R2c: 0.9507

beta_avg_power R2m: 0.0012, R2c: 0.9752

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.41 (-0.07 to 0.89)	0.10	0.38	1.2 (0.34 to 2.0)	0.005	0.021	2.5 (1.9 to 3.1)	<0.001	<0.001
speed_cond_num	0.38 (-0.48 to 1.2)	0.39	0.78	0.72 (-0.51 to 2.0)	0.25	0.31	-0.31 (-1.1 to 0.50)	0.45	0.71
mean_StepDur	0.06 (-0.31 to 0.43)	0.75	0.86	0.39 (-0.12 to 0.91)	0.13	0.27	-0.11 (-0.44 to 0.23)	0.53	0.71
speed_cond_num * mean_StepDur	-0.16 (-1.9 to 1.6)	0.86	0.86	-1.3 (-3.9 to 1.3)	0.31	0.31	-0.01 (-1.7 to 1.7)	0.99	0.99
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0082, R2c: 0.847

alpha_avg_power R2m: 8e-04, R2c: 0.9507

beta_avg_power R2m: 0.0013, R2c: 0.9752

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.47 (0.11 to 0.83)	0.011	0.044	1.3 (0.63 to 2.0)	<0.001	<0.001	2.4 (1.9 to 3.0)	<0.001	<0.001
speed_cond_num	0.08 (-0.36 to 0.52)	0.72	0.72	-0.05 (-0.67 to 0.57)	0.87	0.89	-0.22 (-0.62 to 0.19)	0.29	0.58
mean_StepDur_cov	-0.01 (-0.05 to 0.03)	0.60	0.72	0.01 (-0.05 to 0.07)	0.75	0.89	0.00 (-0.04 to 0.03)	0.86	0.86
speed_cond_num * mean_StepDur_cov	0.06 (-0.04 to 0.15)	0.26	0.51	0.01 (-0.13 to 0.15)	0.89	0.89	-0.02 (-0.10 to 0.07)	0.72	0.86
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0098, R2c: 0.8473

alpha_avg_power R2m: 3e-04, R2c: 0.9503

beta_avg_power R2m: 0.0013, R2c: 0.9752

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.57 (0.10 to 1.0)	0.017	0.069	1.4 (0.66 to 2.2)	<0.001	0.001	2.4 (1.8 to 3.0)	<0.001	<0.001
speed_cond_num	0.18 (-0.28 to 0.63)	0.45	0.81	0.22 (-0.41 to 0.86)	0.49	0.64	0.02 (-0.39 to 0.43)	0.92	0.92
mean_UDexc_COV	-0.01 (-0.03 to 0.01)	0.60	0.81	0.01 (-0.02 to 0.04)	0.64	0.64	0.01 (-0.01 to 0.02)	0.48	0.65
speed_cond_num * mean_UDexc_COV	0.00 (-0.04 to 0.04)	0.90	0.90	-0.05 (-0.11 to 0.01)	0.11	0.21	-0.04 (-0.07 to 0.00)	0.056	0.11
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0085, R2c: 0.8473

alpha_avg_power R2m: 0.0012, R2c: 0.9504

beta_avg_power R2m: 0.0019, R2c: 0.9756

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.24 (-0.16 to 0.65)	0.24	0.27	1.2 (0.53 to 2.0)	<0.001	0.002	2.4 (1.9 to 3.0)	<0.001	<0.001
speed_cond_num	0.45 (-0.09 to 0.98)	0.11	0.27	-0.48 (-1.2 to 0.28)	0.21	0.41	-0.38 (-0.87 to 0.12)	0.14	0.27
mean_UDexc_mean	13 (-10 to 37)	0.27	0.27	18 (-16 to 52)	0.31	0.41	-4.3 (-27 to 18)	0.71	0.71
speed_cond_num * mean_UDexc_mean	-13 (-34 to 8.0)	0.23	0.27	-2.0 (-31 to 27)	0.89	0.89	6.1 (-13 to 25)	0.53	0.71
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0096, R2c: 0.8497

alpha_avg_power R2m: 0.0017, R2c: 0.9503

beta_avg_power R2m: 0.0013, R2c: 0.9752

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.42 (-0.03 to 0.87)	0.068	0.27	1.2 (0.38 to 1.9)	0.003	0.014	2.5 (1.8 to 3.1)	<0.001	<0.001
speed_cond_num	0.33 (-0.42 to 1.1)	0.38	0.77	0.62 (-0.46 to 1.7)	0.26	0.35	-0.22 (-0.94 to 0.49)	0.54	0.84
mean_StanceDur	0.03 (-0.21 to 0.27)	0.80	0.93	0.28 (-0.05 to 0.62)	0.10	0.20	-0.03 (-0.25 to 0.19)	0.77	0.84
speed_cond_num * mean_StanceDur	-0.06 (-1.3 to 1.2)	0.93	0.93	-0.87 (-2.8 to 1.0)	0.37	0.37	-0.13 (-1.4 to 1.1)	0.84	0.84
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0082, R2c: 0.8468

alpha_avg_power R2m: 8e-04, R2c: 0.9508

beta_avg_power R2m: 0.0013, R2c: 0.9751

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.41 (-0.08 to 0.89)	0.10	0.39	1.2 (0.34 to 2.0)	0.005	0.021	2.5 (1.9 to 3.1)	<0.001	<0.001
speed_cond_num	0.37 (-0.49 to 1.2)	0.40	0.80	0.72 (-0.52 to 2.0)	0.25	0.32	-0.31 (-1.1 to 0.51)	0.46	0.71
mean_GaitCycleDur	0.03 (-0.16 to 0.21)	0.75	0.88	0.20 (-0.06 to 0.45)	0.13	0.27	-0.05 (-0.22 to 0.11)	0.53	0.71
speed_cond_num * mean_GaitCycleDur	-0.07 (-0.94 to 0.81)	0.88	0.88	-0.66 (-2.0 to 0.63)	0.32	0.32	-0.01 (-0.87 to 0.85)	0.99	0.99
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0082, R2c: 0.8469

alpha_avg_power R2m: 8e-04, R2c: 0.9507

beta_avg_power R2m: 0.0013, R2c: 0.9752

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.35 (0.02 to 0.67)	0.037	0.15	1.5 (0.88 to 2.1)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001
speed_cond_num	0.31 (-0.26 to 0.89)	0.28	0.46	-0.60 (-1.4 to 0.21)	0.15	0.30	-0.46 (-1.0 to 0.08)	0.093	0.19
mean_PeakUpDownVel_mean	0.90 (-1.5 to 3.3)	0.46	0.46	0.09 (-3.4 to 3.5)	0.96	0.96	0.81 (-1.5 to 3.1)	0.48	0.65
speed_cond_num * mean_PeakUpDownVel_mean	-0.78 (-2.5 to 0.96)	0.38	0.46	0.97 (-1.5 to 3.4)	0.44	0.58	-0.18 (-1.8 to 1.4)	0.83	0.83
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0089, R2c: 0.8485

alpha_avg_power R2m: 8e-04, R2c: 0.9506

beta_avg_power R2m: 0.0015, R2c: 0.9752

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	-0.05 (-0.34 to 0.24)	0.75	0.75	2.0 (1.0 to 3.0)	<0.001	<0.001	3.2 (2.6 to 3.8)	<0.001	<0.001
speed_cond_num	0.17 (-0.13 to 0.48)	0.26	0.57	0.36 (-0.56 to 1.3)	0.44	0.44	-0.30 (-0.80 to 0.20)	0.24	0.47
mean_APexc_COV	0.01 (0.00 to 0.02)	0.28	0.57	0.03 (0.00 to 0.07)	0.043	0.085	0.01 (-0.01 to 0.02)	0.52	0.52
speed_cond_num * mean_APexc_COV	0.00 (-0.01 to 0.02)	0.54	0.72	-0.04 (-0.08 to 0.00)	0.068	0.090	-0.01 (-0.03 to 0.01)	0.43	0.52
subj_char.sd__(Intercept)	0.67 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.68 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0146, R2c: 0.8991

alpha_avg_power R2m: 0.0042, R2c: 0.936

beta_avg_power R2m: 0.0057, R2c: 0.9596

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	-0.07 (-0.36 to 0.22)	0.64	0.64	2.3 (1.3 to 3.2)	<0.001	<0.001	3.4 (2.8 to 3.9)	<0.001	<0.001
speed_cond_num	0.53 (0.17 to 0.89)	0.004	0.017	0.35 (-0.75 to 1.4)	0.53	0.53	-0.36 (-0.95 to 0.23)	0.24	0.47
mean_APexc_mean	3.2 (-0.82 to 7.3)	0.12	0.17	9.2 (-3.1 to 21)	0.14	0.21	0.32 (-6.3 to 7.0)	0.93	0.93
speed_cond_num * mean_APexc_mean	-6.6 (-15 to 1.9)	0.13	0.17	-19 (-45 to 7.3)	0.16	0.21	-4.4 (-18 to 9.6)	0.54	0.72
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0097, R2c: 0.894

alpha_avg_power R2m: 0.0033, R2c: 0.935

beta_avg_power R2m: 0.0059, R2c: 0.9592

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	-0.02 (-0.29 to 0.25)	0.86	0.86	2.3 (1.4 to 3.3)	<0.001	<0.001	3.4 (2.8 to 4.0)	<0.001	<0.001
speed_cond_num	0.11 (-0.23 to 0.45)	0.52	0.86	-0.47 (-1.5 to 0.57)	0.38	0.50	-0.63 (-1.2 to -0.06)	0.030	0.059
mean_MLexc_COV	0.01 (0.00 to 0.03)	0.15	0.62	0.04 (-0.01 to 0.09)	0.16	0.32	0.00 (-0.03 to 0.02)	0.85	0.85
speed_cond_num * mean_MLexc_COV	0.00 (-0.02 to 0.02)	0.85	0.86	-0.01 (-0.08 to 0.05)	0.69	0.69	0.01 (-0.03 to 0.05)	0.66	0.85
subj_char.sd__(Intercept)	0.65 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.68 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0154, R2c: 0.8964

alpha_avg_power R2m: 0.0045, R2c: 0.9366

beta_avg_power R2m: 0.0057, R2c: 0.9595

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.23 (-0.12 to 0.57)	0.20	0.26	2.1 (0.97 to 3.2)	<0.001	0.001	3.1 (2.4 to 3.8)	<0.001	<0.001
speed_cond_num	0.34 (0.03 to 0.64)	0.031	0.12	0.46 (-0.47 to 1.4)	0.33	0.33	-0.22 (-0.72 to 0.28)	0.39	0.50
mean_MLexc_mean	-0.28 (-2.6 to 2.0)	0.81	0.81	6.6 (-0.46 to 14)	0.067	0.13	2.2 (-1.7 to 6.0)	0.27	0.50
speed_cond_num * mean_MLexc_mean	-3.9 (-8.3 to 0.58)	0.089	0.18	-11 (-25 to 2.2)	0.10	0.14	-2.6 (-10 to 4.8)	0.50	0.50
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.68 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0144, R2c: 0.8972

alpha_avg_power R2m: 0.0038, R2c: 0.9358

beta_avg_power R2m: 0.0059, R2c: 0.9597

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.22 (-0.13 to 0.57)	0.21	0.22	2.5 (1.4 to 3.7)	<0.001	<0.001	3.3 (2.7 to 4.0)	<0.001	<0.001
speed_cond_num	0.96 (0.40 to 1.5)	<0.001	0.003	0.63 (-1.1 to 2.4)	0.48	0.48	-0.38 (-1.3 to 0.58)	0.43	0.87
mean_StepDur	0.15 (-0.09 to 0.39)	0.22	0.22	0.47 (-0.27 to 1.2)	0.21	0.39	0.03 (-0.37 to 0.44)	0.88	0.88
speed_cond_num * mean_StepDur	-1.6 (-2.8 to -0.43)	0.008	0.015	-2.0 (-5.8 to 1.7)	0.29	0.39	-0.23 (-2.3 to 1.8)	0.83	0.88
subj_char.sd__(Intercept)	0.67 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0208, R2c: 0.9019

alpha_avg_power R2m: 0.0035, R2c: 0.9351

beta_avg_power R2m: 0.0057, R2c: 0.9593

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.00 (-0.26 to 0.25)	0.98	0.98	2.6 (1.7 to 3.5)	<0.001	<0.001	3.5 (2.9 to 4.0)	<0.001	<0.001
speed_cond_num	0.38 (0.10 to 0.67)	0.009	0.035	-0.18 (-1.0 to 0.69)	0.69	0.69	-0.58 (-1.0 to -0.11)	0.015	0.031
mean_StepDur_cov	0.02 (-0.01 to 0.04)	0.26	0.49	0.03 (-0.05 to 0.11)	0.48	0.65	-0.02 (-0.06 to 0.03)	0.49	0.65
speed_cond_num * mean_StepDur_cov	-0.03 (-0.09 to 0.03)	0.37	0.49	-0.07 (-0.26 to 0.13)	0.49	0.65	0.00 (-0.11 to 0.10)	0.94	0.94
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.009, R2c: 0.8934

alpha_avg_power R2m: 0.0028, R2c: 0.9348

beta_avg_power R2m: 0.0059, R2c: 0.9592

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	-0.15 (-0.48 to 0.18)	0.37	0.42	2.9 (1.8 to 4.0)	<0.001	<0.001	3.4 (2.8 to 4.0)	<0.001	<0.001
speed_cond_num	0.47 (0.17 to 0.77)	0.002	0.008	-0.07 (-0.97 to 0.83)	0.89	0.89	-0.35 (-0.83 to 0.14)	0.16	0.29
mean_UDexc_COV	0.01 (0.00 to 0.03)	0.074	0.15	0.01 (-0.03 to 0.05)	0.73	0.89	0.00 (-0.02 to 0.02)	0.85	0.85
speed_cond_num * mean_UDexc_COV	-0.01 (-0.04 to 0.02)	0.42	0.42	-0.07 (-0.15 to 0.00)	0.063	0.13	-0.03 (-0.07 to 0.02)	0.22	0.29
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0102, R2c: 0.8944

alpha_avg_power R2m: 0.0047, R2c: 0.9343

beta_avg_power R2m: 0.0062, R2c: 0.9596

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.19 (-0.09 to 0.48)	0.18	0.40	2.9 (2.0 to 3.9)	<0.001	<0.001	3.9 (3.3 to 4.5)	<0.001	<0.001
speed_cond_num	0.17 (-0.19 to 0.52)	0.36	0.40	-1.4 (-2.4 to -0.29)	0.012	0.025	-0.64 (-1.2 to -0.08)	0.025	0.025
mean_UDexc_mean	-6.9 (-23 to 9.0)	0.40	0.40	-0.14 (-48 to 48)	0.99	0.99	-41 (-66 to -15)	0.002	0.004
speed_cond_num * mean_UDexc_mean	5.9 (-8.0 to 20)	0.40	0.40	21 (-21 to 63)	0.33	0.44	30 (7.5 to 52)	0.009	0.011
subj_char.sd__(Intercept)	0.65 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.36 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.009, R2c: 0.8923

alpha_avg_power R2m: 0.0038, R2c: 0.9351

beta_avg_power R2m: 0.0092, R2c: 0.9621

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.23 (-0.10 to 0.55)	0.17	0.17	2.5 (1.4 to 3.6)	<0.001	<0.001	3.3 (2.7 to 4.0)	<0.001	<0.001
speed_cond_num	0.85 (0.36 to 1.3)	<0.001	0.003	0.53 (-0.98 to 2.0)	0.50	0.50	-0.33 (-1.1 to 0.50)	0.44	0.75
mean_StanceDur	0.13 (-0.03 to 0.28)	0.10	0.14	0.37 (-0.10 to 0.85)	0.12	0.25	0.06 (-0.20 to 0.31)	0.67	0.75
speed_cond_num * mean_StanceDur	-1.1 (-2.0 to -0.28)	0.009	0.018	-1.4 (-4.1 to 1.3)	0.31	0.42	-0.24 (-1.7 to 1.2)	0.75	0.75
subj_char.sd__(Intercept)	0.67 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.019, R2c: 0.9009

alpha_avg_power R2m: 0.0035, R2c: 0.9353

beta_avg_power R2m: 0.0057, R2c: 0.9593

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.23 (-0.12 to 0.58)	0.20	0.22	2.5 (1.4 to 3.7)	<0.001	<0.001	3.3 (2.7 to 4.0)	<0.001	<0.001
speed_cond_num	0.97 (0.41 to 1.5)	<0.001	0.003	0.62 (-1.1 to 2.4)	0.49	0.49	-0.39 (-1.4 to 0.57)	0.42	0.85
mean_GaitCycleDur	0.08 (-0.05 to 0.20)	0.22	0.22	0.24 (-0.14 to 0.61)	0.21	0.40	0.01 (-0.19 to 0.22)	0.89	0.89
speed_cond_num * mean_GaitCycleDur	-0.82 (-1.4 to -0.23)	0.007	0.014	-0.99 (-2.9 to 0.88)	0.30	0.40	-0.10 (-1.1 to 0.92)	0.84	0.89
subj_char.sd__(Intercept)	0.67 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0213, R2c: 0.9021

alpha_avg_power R2m: 0.0035, R2c: 0.9351

beta_avg_power R2m: 0.0056, R2c: 0.9593

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.13 (-0.11 to 0.36)	0.29	0.91	3.2 (2.4 to 4.0)	<0.001	<0.001	3.6 (3.1 to 4.1)	<0.001	<0.001
speed_cond_num	0.04 (-0.32 to 0.41)	0.82	0.91	-1.2 (-2.4 to -0.13)	0.029	0.058	-0.22 (-0.82 to 0.38)	0.47	0.47
mean_PeakUpDownVel_mean	0.09 (-1.5 to 1.7)	0.91	0.91	-2.5 (-7.3 to 2.3)	0.31	0.31	-2.9 (-5.5 to -0.32)	0.028	0.056
speed_cond_num * mean_PeakUpDownVel_mean	0.31 (-0.85 to 1.5)	0.60	0.91	3.4 (-0.08 to 6.9)	0.055	0.074	1.7 (-0.21 to 3.5)	0.081	0.11
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.68 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0092, R2c: 0.8945

alpha_avg_power R2m: 0.0038, R2c: 0.9358

beta_avg_power R2m: 0.0081, R2c: 0.9608

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.08 (-0.21 to 0.38)	0.58	0.58	2.9 (2.1 to 3.8)	<0.001	<0.001	2.8 (2.3 to 3.3)	<0.001	<0.001
speed_cond_num	0.19 (-0.15 to 0.52)	0.27	0.58	0.08 (-0.66 to 0.82)	0.83	0.83	0.08 (-0.34 to 0.51)	0.70	0.70
mean_APexc_COV	0.01 (-0.01 to 0.02)	0.39	0.58	0.02 (-0.01 to 0.04)	0.17	0.23	0.01 (-0.01 to 0.02)	0.29	0.38
speed_cond_num * mean_APexc_COV	0.00 (-0.02 to 0.01)	0.56	0.58	-0.02 (-0.06 to 0.01)	0.15	0.23	-0.02 (-0.04 to 0.00)	0.024	0.047
subj_char.sd__(Intercept)	0.53 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.54 (NA to NA)			0.31 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0026, R2c: 0.8232

alpha_avg_power R2m: 0.0031, R2c: 0.9518

beta_avg_power R2m: 0.0051, R2c: 0.9639

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.06 (-0.21 to 0.33)	0.67	0.79	2.6 (1.8 to 3.4)	<0.001	<0.001	2.9 (2.5 to 3.4)	<0.001	<0.001
speed_cond_num	0.05 (-0.32 to 0.42)	0.79	0.79	0.00 (-0.82 to 0.81)	0.99	0.99	-0.72 (-1.2 to -0.25)	0.003	0.006
mean_APexc_mean	1.6 (-2.5 to 5.8)	0.43	0.79	11 (2.3 to 20)	0.014	0.028	-0.92 (-6.2 to 4.4)	0.73	0.73
speed_cond_num * mean_APexc_mean	2.9 (-6.0 to 12)	0.52	0.79	-2.7 (-22 to 17)	0.79	0.99	12 (-0.06 to 23)	0.051	0.068
subj_char.sd__(Intercept)	0.52 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.53 (NA to NA)			0.31 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0067, R2c: 0.8229

alpha_avg_power R2m: 0.006, R2c: 0.9537

beta_avg_power R2m: 0.0055, R2c: 0.9645

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	-0.03 (-0.29 to 0.22)	0.80	0.80	3.1 (2.4 to 3.9)	<0.001	<0.001	2.8 (2.3 to 3.3)	<0.001	<0.001
speed_cond_num	0.25 (-0.12 to 0.62)	0.19	0.28	-0.75 (-1.6 to 0.08)	0.077	0.15	-0.27 (-0.76 to 0.21)	0.27	0.36
mean_MLexc_COV	0.02 (0.00 to 0.04)	0.022	0.087	0.02 (-0.02 to 0.06)	0.29	0.39	0.02 (-0.01 to 0.04)	0.15	0.31
speed_cond_num * mean_MLexc_COV	-0.02 (-0.04 to 0.01)	0.21	0.28	0.01 (-0.04 to 0.06)	0.70	0.70	-0.01 (-0.04 to 0.02)	0.53	0.53
subj_char.sd__(Intercept)	0.53 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.31 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.009, R2c: 0.8267

alpha_avg_power R2m: 0.0048, R2c: 0.9535

beta_avg_power R2m: 0.0046, R2c: 0.9633

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.30 (-0.03 to 0.63)	0.075	0.30	3.0 (2.1 to 3.9)	<0.001	<0.001	3.1 (2.5 to 3.7)	<0.001	<0.001
speed_cond_num	-0.04 (-0.36 to 0.28)	0.81	0.81	0.25 (-0.46 to 0.95)	0.50	0.50	-0.47 (-0.89 to -0.05)	0.027	0.054
mean_MLexc_mean	-0.96 (-3.3 to 1.4)	0.43	0.81	4.3 (-1.0 to 9.7)	0.11	0.15	-0.88 (-4.0 to 2.3)	0.58	0.76
speed_cond_num * mean_MLexc_mean	1.2 (-3.5 to 5.9)	0.62	0.81	-9.6 (-20 to 0.98)	0.075	0.15	0.96 (-5.3 to 7.2)	0.76	0.76
subj_char.sd__(Intercept)	0.53 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.54 (NA to NA)			0.32 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0021, R2c: 0.8226

alpha_avg_power R2m: 0.0034, R2c: 0.952

beta_avg_power R2m: 0.0039, R2c: 0.9625

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	-0.06 (-0.38 to 0.27)	0.73	0.93	2.3 (1.4 to 3.2)	<0.001	<0.001	2.9 (2.4 to 3.5)	<0.001	<0.001
speed_cond_num	-0.38 (-0.95 to 0.19)	0.19	0.37	-1.1 (-2.4 to 0.19)	0.094	0.12	-1.4 (-2.2 to -0.69)	<0.001	<0.001
mean_StepDur	0.01 (-0.24 to 0.27)	0.93	0.93	0.44 (-0.12 to 0.99)	0.12	0.12	-0.30 (-0.62 to 0.02)	0.070	0.070
speed_cond_num * mean_StepDur	1.2 (0.07 to 2.4)	0.038	0.15	2.5 (-0.17 to 5.2)	0.066	0.12	2.2 (0.64 to 3.8)	0.006	0.008
subj_char.sd__(Intercept)	0.52 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.53 (NA to NA)			0.31 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0203, R2c: 0.8259

alpha_avg_power R2m: 0.0112, R2c: 0.9543

beta_avg_power R2m: 0.0078, R2c: 0.9657

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.03 (-0.22 to 0.27)	0.84	0.84	2.9 (2.1 to 3.6)	<0.001	<0.001	3.0 (2.6 to 3.5)	<0.001	<0.001
speed_cond_num	0.27 (-0.04 to 0.58)	0.087	0.21	0.38 (-0.31 to 1.1)	0.28	0.28	-0.25 (-0.66 to 0.15)	0.22	0.44
mean_StepDur_cov	0.02 (-0.01 to 0.05)	0.10	0.21	0.08 (0.02 to 0.14)	0.015	0.030	0.00 (-0.04 to 0.04)	0.91	0.91
speed_cond_num * mean_StepDur_cov	-0.03 (-0.10 to 0.04)	0.47	0.63	-0.17 (-0.33 to -0.02)	0.030	0.041	-0.04 (-0.14 to 0.05)	0.36	0.48
subj_char.sd__(Intercept)	0.53 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.32 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0042, R2c: 0.8247

alpha_avg_power R2m: 0.0039, R2c: 0.9528

beta_avg_power R2m: 0.0042, R2c: 0.9626

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.11 (-0.21 to 0.43)	0.50	0.50	3.5 (2.6 to 4.3)	<0.001	<0.001	3.2 (2.6 to 3.7)	<0.001	<0.001
speed_cond_num	0.22 (-0.09 to 0.54)	0.17	0.50	-0.17 (-0.87 to 0.52)	0.62	0.81	-0.38 (-0.79 to 0.03)	0.067	0.13
mean_UDexc_COV	0.01 (-0.01 to 0.02)	0.41	0.50	0.00 (-0.03 to 0.04)	0.81	0.81	0.00 (-0.02 to 0.01)	0.63	0.63
speed_cond_num * mean_UDexc_COV	-0.01 (-0.04 to 0.02)	0.41	0.50	-0.05 (-0.11 to 0.01)	0.10	0.20	-0.01 (-0.05 to 0.02)	0.47	0.63
subj_char.sd__(Intercept)	0.53 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.54 (NA to NA)			0.32 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0022, R2c: 0.8217

alpha_avg_power R2m: 0.0038, R2c: 0.9512

beta_avg_power R2m: 0.0044, R2c: 0.9628

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.03 (-0.25 to 0.32)	0.82	0.82	3.6 (2.8 to 4.4)	<0.001	<0.001	2.9 (2.3 to 3.4)	<0.001	<0.001
speed_cond_num	-0.08 (-0.45 to 0.28)	0.65	0.82	-0.76 (-1.6 to 0.06)	0.069	0.14	-0.09 (-0.57 to 0.39)	0.72	0.72
mean_UDexc_mean	15 (-1.8 to 32)	0.080	0.32	-17 (-56 to 23)	0.41	0.41	5.6 (-17 to 29)	0.63	0.72
speed_cond_num * mean_UDexc_mean	-5.9 (-21 to 9.2)	0.44	0.82	18 (-16 to 52)	0.29	0.39	-10 (-30 to 9.6)	0.31	0.62
subj_char.sd__(Intercept)	0.53 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.32 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.011, R2c: 0.8255

alpha_avg_power R2m: 0.0029, R2c: 0.9512

beta_avg_power R2m: 0.0041, R2c: 0.9627

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	-0.05 (-0.35 to 0.26)	0.77	0.77	2.3 (1.5 to 3.2)	<0.001	<0.001	2.9 (2.4 to 3.5)	<0.001	<0.001
speed_cond_num	-0.33 (-0.83 to 0.17)	0.19	0.38	-0.82 (-2.0 to 0.31)	0.15	0.19	-1.1 (-1.8 to -0.44)	0.001	0.002
mean_StanceDur	-0.03 (-0.20 to 0.13)	0.69	0.77	0.24 (-0.12 to 0.59)	0.19	0.19	-0.19 (-0.40 to 0.02)	0.071	0.071
speed_cond_num * mean_StanceDur	0.93 (0.08 to 1.8)	0.031	0.12	1.7 (-0.30 to 3.6)	0.10	0.19	1.3 (0.09 to 2.4)	0.035	0.046
subj_char.sd__(Intercept)	0.52 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.53 (NA to NA)			0.31 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0185, R2c: 0.8261

alpha_avg_power R2m: 0.0095, R2c: 0.9541

beta_avg_power R2m: 0.006, R2c: 0.9645

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	-0.06 (-0.38 to 0.27)	0.73	0.93	2.3 (1.4 to 3.2)	<0.001	<0.001	2.9 (2.4 to 3.5)	<0.001	<0.001
speed_cond_num	-0.38 (-0.95 to 0.19)	0.19	0.38	-1.1 (-2.4 to 0.19)	0.093	0.12	-1.5 (-2.2 to -0.70)	<0.001	<0.001
mean_GaitCycleDur	0.01 (-0.12 to 0.13)	0.93	0.93	0.22 (-0.06 to 0.50)	0.12	0.12	-0.15 (-0.31 to 0.01)	0.072	0.072
speed_cond_num * mean_GaitCycleDur	0.61 (0.03 to 1.2)	0.038	0.15	1.3 (-0.08 to 2.6)	0.065	0.12	1.1 (0.33 to 1.9)	0.005	0.007
subj_char.sd__(Intercept)	0.52 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.53 (NA to NA)			0.31 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0204, R2c: 0.8259

alpha_avg_power R2m: 0.0112, R2c: 0.9543

beta_avg_power R2m: 0.0079, R2c: 0.9658

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.12 (-0.11 to 0.34)	0.31	0.47	3.8 (3.1 to 4.5)	<0.001	<0.001	3.0 (2.5 to 3.4)	<0.001	<0.001
speed_cond_num	-0.14 (-0.52 to 0.24)	0.47	0.47	-0.07 (-0.91 to 0.78)	0.88	0.88	0.11 (-0.39 to 0.61)	0.67	0.71
mean_PeakUpDownVel_mean	1.2 (-0.43 to 2.9)	0.15	0.47	-5.0 (-8.8 to -1.1)	0.012	0.023	-0.84 (-3.1 to 1.4)	0.47	0.71
speed_cond_num * mean_PeakUpDownVel_mean	-0.51 (-1.8 to 0.74)	0.43	0.47	3.0 (0.25 to 5.8)	0.033	0.044	-0.31 (-1.9 to 1.3)	0.71	0.71
subj_char.sd__(Intercept)	0.52 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.31 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0077, R2c: 0.8219

alpha_avg_power R2m: 0.0062, R2c: 0.9524

beta_avg_power R2m: 0.0053, R2c: 0.9627

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.29 (0.00 to 0.58)	0.051	0.20	3.5 (2.7 to 4.4)	<0.001	<0.001	2.4 (2.0 to 2.9)	<0.001	<0.001
speed_cond_num	0.14 (-0.16 to 0.44)	0.36	0.60	0.39 (-0.41 to 1.2)	0.34	0.34	0.09 (-0.32 to 0.50)	0.67	0.67
mean_APexc_COV	0.00 (-0.01 to 0.01)	0.45	0.60	0.01 (-0.01 to 0.04)	0.26	0.34	0.01 (0.00 to 0.02)	0.12	0.23
speed_cond_num * mean_APexc_COV	0.00 (-0.01 to 0.02)	0.81	0.81	-0.03 (-0.07 to 0.01)	0.14	0.27	-0.01 (-0.03 to 0.01)	0.20	0.26
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0038, R2c: 0.9349

alpha_avg_power R2m: 9e-04, R2c: 0.9482

beta_avg_power R2m: 0.0021, R2c: 0.9519

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.28 (-0.01 to 0.57)	0.058	0.23	3.7 (2.9 to 4.5)	<0.001	<0.001	2.6 (2.2 to 3.1)	<0.001	<0.001
speed_cond_num	0.20 (-0.13 to 0.52)	0.23	0.46	-0.47 (-1.3 to 0.39)	0.29	0.42	-0.46 (-0.89 to -0.02)	0.040	0.080
mean_APexc_mean	1.3 (-2.2 to 4.9)	0.46	0.62	0.56 (-9.1 to 10)	0.91	0.91	-0.97 (-5.9 to 3.9)	0.70	0.70
speed_cond_num * mean_APexc_mean	0.12 (-7.6 to 7.8)	0.98	0.98	11 (-10 to 31)	0.32	0.42	8.4 (-2.1 to 19)	0.12	0.16
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0031, R2c: 0.9343

alpha_avg_power R2m: 0.0014, R2c: 0.9487

beta_avg_power R2m: 0.0027, R2c: 0.9528

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.34 (0.07 to 0.61)	0.014	0.056	4.3 (3.5 to 5.1)	<0.001	<0.001	2.8 (2.4 to 3.2)	<0.001	<0.001
speed_cond_num	0.17 (-0.14 to 0.49)	0.27	0.55	-1.0 (-1.9 to -0.21)	0.014	0.028	-0.42 (-0.85 to 0.00)	0.052	0.10
mean_MLexc_COV	0.00 (-0.01 to 0.02)	0.68	0.83	-0.03 (-0.07 to 0.00)	0.075	0.075	-0.01 (-0.03 to 0.01)	0.24	0.24
speed_cond_num * mean_MLexc_COV	0.00 (-0.02 to 0.02)	0.83	0.83	0.06 (0.00 to 0.11)	0.033	0.043	0.02 (-0.01 to 0.04)	0.23	0.24
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0026, R2c: 0.9339

alpha_avg_power R2m: 0.0014, R2c: 0.9488

beta_avg_power R2m: 0.0018, R2c: 0.9517

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.54 (0.21 to 0.88)	0.002	0.006	3.7 (2.7 to 4.6)	<0.001	<0.001	2.4 (1.9 to 2.9)	<0.001	<0.001
speed_cond_num	0.08 (-0.20 to 0.37)	0.56	0.74	0.27 (-0.49 to 1.0)	0.49	0.49	0.11 (-0.27 to 0.50)	0.56	0.56
mean_MLexc_mean	-1.1 (-3.2 to 1.0)	0.32	0.64	2.6 (-3.1 to 8.3)	0.37	0.49	2.3 (-0.60 to 5.2)	0.12	0.24
speed_cond_num * mean_MLexc_mean	-0.72 (-5.0 to 3.6)	0.74	0.74	-7.4 (-19 to 4.2)	0.21	0.43	-3.3 (-9.2 to 2.6)	0.27	0.36
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0039, R2c: 0.9345

alpha_avg_power R2m: 9e-04, R2c: 0.948

beta_avg_power R2m: 0.002, R2c: 0.9523

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.36 (0.02 to 0.70)	0.037	0.15	3.5 (2.5 to 4.4)	<0.001	<0.001	2.6 (2.1 to 3.1)	<0.001	<0.001
speed_cond_num	0.05 (-0.47 to 0.57)	0.84	0.84	-1.0 (-2.4 to 0.35)	0.14	0.20	-0.35 (-1.1 to 0.36)	0.33	0.67
mean_StepDur	-0.02 (-0.24 to 0.20)	0.84	0.84	-0.04 (-0.63 to 0.55)	0.89	0.89	-0.02 (-0.32 to 0.28)	0.89	0.89
speed_cond_num * mean_StepDur	0.22 (-0.87 to 1.3)	0.70	0.84	2.2 (-0.78 to 5.1)	0.15	0.20	0.38 (-1.1 to 1.9)	0.62	0.82
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0027, R2c: 0.934

alpha_avg_power R2m: 0.003, R2c: 0.9489

beta_avg_power R2m: 0.0018, R2c: 0.9518

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.37 (0.11 to 0.63)	0.006	0.024	3.9 (3.2 to 4.7)	<0.001	<0.001	2.6 (2.2 to 3.0)	<0.001	<0.001
speed_cond_num	0.18 (-0.10 to 0.45)	0.20	0.41	0.31 (-0.40 to 1.0)	0.40	0.53	-0.04 (-0.41 to 0.33)	0.85	0.85
mean_StepDur_cov	0.00 (-0.02 to 0.03)	0.89	0.89	0.02 (-0.05 to 0.09)	0.59	0.59	0.01 (-0.02 to 0.05)	0.53	0.71
speed_cond_num * mean_StepDur_cov	-0.01 (-0.07 to 0.05)	0.86	0.89	-0.18 (-0.34 to -0.03)	0.023	0.045	-0.04 (-0.12 to 0.04)	0.32	0.64
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0026, R2c: 0.934

alpha_avg_power R2m: 0.003, R2c: 0.9494

beta_avg_power R2m: 0.0018, R2c: 0.9515

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.22 (-0.11 to 0.55)	0.20	0.39	4.1 (3.1 to 5.0)	<0.001	<0.001	2.5 (2.1 to 3.0)	<0.001	<0.001
speed_cond_num	0.22 (-0.05 to 0.50)	0.12	0.39	-0.14 (-0.89 to 0.60)	0.71	0.83	-0.03 (-0.41 to 0.35)	0.87	0.87
mean_UDexc_COV	0.01 (-0.01 to 0.02)	0.38	0.51	0.00 (-0.04 to 0.03)	0.83	0.83	0.01 (-0.01 to 0.02)	0.42	0.74
speed_cond_num * mean_UDexc_COV	0.01 (-0.02 to 0.03)	0.67	0.67	-0.03 (-0.10 to 0.04)	0.42	0.83	-0.01 (-0.05 to 0.02)	0.56	0.74
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0034, R2c: 0.9347

alpha_avg_power R2m: 9e-04, R2c: 0.9477

beta_avg_power R2m: 0.0017, R2c: 0.9515

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.31 (0.02 to 0.60)	0.037	0.15	4.2 (3.3 to 5.0)	<0.001	<0.001	2.9 (2.5 to 3.3)	<0.001	<0.001
speed_cond_num	-0.15 (-0.47 to 0.17)	0.37	0.49	-0.55 (-1.4 to 0.32)	0.22	0.29	-0.18 (-0.62 to 0.27)	0.43	0.43
mean_UDexc_mean	9.9 (-5.2 to 25)	0.20	0.39	-20 (-61 to 21)	0.34	0.34	-19 (-40 to 1.4)	0.067	0.13
speed_cond_num * mean_UDexc_mean	0.77 (-12 to 13)	0.91	0.91	21 (-13 to 56)	0.22	0.29	12 (-5.0 to 30)	0.16	0.22
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0067, R2c: 0.9357

alpha_avg_power R2m: 8e-04, R2c: 0.948

beta_avg_power R2m: 0.0034, R2c: 0.9511

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.36 (0.04 to 0.68)	0.026	0.10	3.5 (2.6 to 4.4)	<0.001	<0.001	2.6 (2.1 to 3.1)	<0.001	<0.001
speed_cond_num	0.03 (-0.42 to 0.48)	0.90	0.90	-0.74 (-2.0 to 0.48)	0.23	0.31	-0.20 (-0.82 to 0.43)	0.54	0.89
mean_StanceDur	-0.03 (-0.17 to 0.11)	0.66	0.88	-0.03 (-0.41 to 0.35)	0.89	0.89	0.02 (-0.18 to 0.21)	0.85	0.89
speed_cond_num * mean_StanceDur	0.21 (-0.58 to 1.0)	0.60	0.88	1.3 (-0.84 to 3.4)	0.23	0.31	0.08 (-1.0 to 1.2)	0.89	0.89
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0028, R2c: 0.934

alpha_avg_power R2m: 0.0022, R2c: 0.9487

beta_avg_power R2m: 0.0016, R2c: 0.9516

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.36 (0.02 to 0.70)	0.037	0.15	3.5 (2.5 to 4.4)	<0.001	<0.001	2.6 (2.1 to 3.1)	<0.001	<0.001
speed_cond_num	0.06 (-0.46 to 0.58)	0.83	0.85	-1.0 (-2.4 to 0.36)	0.15	0.21	-0.36 (-1.1 to 0.36)	0.33	0.65
mean_GaitCycleDur	-0.01 (-0.12 to 0.10)	0.85	0.85	-0.02 (-0.32 to 0.27)	0.89	0.89	-0.01 (-0.16 to 0.14)	0.89	0.89
speed_cond_num * mean_GaitCycleDur	0.10 (-0.44 to 0.65)	0.71	0.85	1.1 (-0.41 to 2.5)	0.16	0.21	0.20 (-0.55 to 0.95)	0.60	0.81
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0027, R2c: 0.934

alpha_avg_power R2m: 0.0029, R2c: 0.9488

beta_avg_power R2m: 0.0018, R2c: 0.9518

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.33 (0.08 to 0.58)	0.010	0.041	4.0 (3.3 to 4.8)	<0.001	<0.001	2.8 (2.4 to 3.2)	<0.001	<0.001
speed_cond_num	-0.26 (-0.60 to 0.08)	0.14	0.19	0.08 (-0.86 to 1.0)	0.86	0.86	0.16 (-0.31 to 0.64)	0.50	0.50
mean_PeakUpDownVel_mean	1.4 (-0.15 to 2.9)	0.078	0.16	-2.5 (-6.7 to 1.7)	0.25	0.49	-2.1 (-4.3 to -0.01)	0.049	0.10
speed_cond_num * mean_PeakUpDownVel_mean	-0.23 (-1.3 to 0.85)	0.67	0.67	1.4 (-1.6 to 4.3)	0.37	0.49	0.94 (-0.56 to 2.4)	0.22	0.29
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0078, R2c: 0.9365

alpha_avg_power R2m: 0.0013, R2c: 0.9479

beta_avg_power R2m: 0.0045, R2c: 0.9512

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.37 (-0.02 to 0.75)	0.060	0.088	0.96 (0.29 to 1.6)	0.005	0.020	1.2 (0.85 to 1.6)	<0.001	<0.001
speed_cond_num	0.70 (0.31 to 1.1)	<0.001	0.002	0.61 (-0.13 to 1.3)	0.10	0.10	0.06 (-0.29 to 0.40)	0.75	0.75
mean_APexc_COV	0.01 (-0.01 to 0.02)	0.35	0.35	0.03 (0.00 to 0.05)	0.036	0.047	0.00 (-0.01 to 0.02)	0.53	0.70
speed_cond_num * mean_APexc_COV	-0.02 (-0.03 to 0.00)	0.066	0.088	-0.04 (-0.07 to 0.00)	0.027	0.047	-0.01 (-0.03 to 0.00)	0.062	0.12
subj_char.sd__(Intercept)	0.87 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0146, R2c: 0.9126

alpha_avg_power R2m: 0.0056, R2c: 0.8596

beta_avg_power R2m: 0.0052, R2c: 0.9542

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.49 (0.11 to 0.86)	0.010	0.042	0.57 (-0.06 to 1.2)	0.075	0.075	1.1 (0.69 to 1.5)	<0.001	<0.001
speed_cond_num	0.44 (0.00 to 0.89)	0.051	0.10	0.81 (0.00 to 1.6)	0.050	0.075	-0.26 (-0.64 to 0.13)	0.20	0.26
mean_APexc_mean	0.48 (-4.7 to 5.7)	0.86	0.86	18 (8.1 to 27)	<0.001	0.001	3.5 (-1.0 to 8.0)	0.13	0.26
speed_cond_num * mean_APexc_mean	-2.0 (-13 to 8.5)	0.70	0.86	-18 (-37 to 1.6)	0.072	0.075	3.8 (-5.4 to 13)	0.42	0.42
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.50 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0124, R2c: 0.9126

alpha_avg_power R2m: 0.0143, R2c: 0.8656

beta_avg_power R2m: 0.0076, R2c: 0.9548

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.40 (0.03 to 0.76)	0.033	0.065	1.2 (0.53 to 1.8)	<0.001	0.001	1.3 (0.90 to 1.7)	<0.001	<0.001
speed_cond_num	0.64 (0.18 to 1.1)	0.006	0.025	-0.13 (-0.98 to 0.72)	0.77	0.77	-0.26 (-0.66 to 0.15)	0.22	0.44
mean_MLexc_COV	0.01 (-0.01 to 0.03)	0.55	0.55	0.03 (0.00 to 0.07)	0.081	0.16	0.00 (-0.01 to 0.02)	0.62	0.83
speed_cond_num * mean_MLexc_COV	-0.02 (-0.05 to 0.01)	0.27	0.36	-0.02 (-0.07 to 0.04)	0.56	0.74	0.00 (-0.03 to 0.03)	0.97	0.97
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0132, R2c: 0.9129

alpha_avg_power R2m: 0.0075, R2c: 0.8621

beta_avg_power R2m: 0.0037, R2c: 0.9525

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.37 (-0.07 to 0.81)	0.10	0.19	0.77 (0.01 to 1.5)	0.047	0.062	0.94 (0.50 to 1.4)	<0.001	<0.001
speed_cond_num	0.41 (0.02 to 0.79)	0.039	0.16	0.76 (0.05 to 1.5)	0.036	0.062	0.03 (-0.30 to 0.37)	0.84	0.84
mean_MLexc_mean	0.75 (-2.1 to 3.6)	0.61	0.77	7.4 (2.1 to 13)	0.006	0.024	2.9 (0.35 to 5.4)	0.025	0.051
speed_cond_num * mean_MLexc_mean	0.84 (-4.8 to 6.5)	0.77	0.77	-9.9 (-20 to 0.50)	0.062	0.062	-0.60 (-5.6 to 4.4)	0.81	0.84
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0132, R2c: 0.9129

alpha_avg_power R2m: 0.0078, R2c: 0.8621

beta_avg_power R2m: 0.0068, R2c: 0.9536

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.54 (0.11 to 0.96)	0.013	0.052	0.86 (0.12 to 1.6)	0.023	0.090	1.0 (0.59 to 1.4)	<0.001	<0.001
speed_cond_num	-0.05 (-0.75 to 0.65)	0.88	0.88	0.17 (-1.1 to 1.5)	0.79	0.99	-0.78 (-1.4 to -0.16)	0.014	0.027
mean_StepDur	-0.15 (-0.47 to 0.16)	0.34	0.46	0.57 (-0.02 to 1.2)	0.058	0.12	0.04 (-0.24 to 0.31)	0.80	0.80
speed_cond_num * mean_StepDur	0.79 (-0.63 to 2.2)	0.28	0.46	0.02 (-2.6 to 2.6)	0.99	0.99	1.4 (0.15 to 2.7)	0.028	0.037
subj_char.sd__(Intercept)	0.87 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0141, R2c: 0.9111

alpha_avg_power R2m: 0.0075, R2c: 0.8631

beta_avg_power R2m: 0.0113, R2c: 0.9562

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.56 (0.18 to 0.94)	0.004	0.017	1.3 (0.64 to 2.0)	<0.001	<0.001	1.4 (1.0 to 1.8)	<0.001	<0.001
speed_cond_num	0.30 (-0.11 to 0.70)	0.15	0.29	0.09 (-0.68 to 0.85)	0.83	0.83	-0.25 (-0.61 to 0.11)	0.17	0.33
mean_StepDur_cov	-0.01 (-0.05 to 0.03)	0.69	0.81	0.03 (-0.04 to 0.11)	0.39	0.77	-0.01 (-0.05 to 0.03)	0.64	0.78
speed_cond_num * mean_StepDur_cov	0.01 (-0.07 to 0.09)	0.81	0.81	-0.04 (-0.20 to 0.11)	0.58	0.77	-0.01 (-0.09 to 0.06)	0.78	0.78
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0124, R2c: 0.9125

alpha_avg_power R2m: 0.0023, R2c: 0.8574

beta_avg_power R2m: 0.0038, R2c: 0.9526

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.55 (0.08 to 1.0)	0.022	0.088	1.7 (0.89 to 2.6)	<0.001	<0.001	1.6 (1.1 to 2.0)	<0.001	<0.001
speed_cond_num	0.18 (-0.23 to 0.59)	0.38	0.51	-0.03 (-0.81 to 0.74)	0.93	0.99	-0.26 (-0.62 to 0.11)	0.17	0.25
mean_UDexc_COV	-0.01 (-0.03 to 0.01)	0.53	0.53	0.00 (-0.04 to 0.04)	0.99	0.99	-0.01 (-0.02 to 0.01)	0.42	0.42
speed_cond_num * mean_UDexc_COV	0.02 (-0.01 to 0.05)	0.24	0.49	-0.04 (-0.10 to 0.02)	0.23	0.45	-0.02 (-0.05 to 0.01)	0.19	0.25
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.013, R2c: 0.9132

alpha_avg_power R2m: 0.0042, R2c: 0.8573

beta_avg_power R2m: 0.0057, R2c: 0.9529

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.25 (-0.12 to 0.62)	0.18	0.18	1.2 (0.58 to 1.8)	<0.001	<0.001	1.3 (0.87 to 1.6)	<0.001	<0.001
speed_cond_num	0.51 (0.06 to 0.95)	0.025	0.10	-0.93 (-1.8 to -0.09)	0.030	0.059	-0.39 (-0.79 to 0.01)	0.055	0.11
mean_UDexc_mean	17 (-3.7 to 38)	0.11	0.14	38 (-0.27 to 77)	0.052	0.069	7.9 (-11 to 27)	0.41	0.55
speed_cond_num * mean_UDexc_mean	-15 (-32 to 2.4)	0.092	0.14	-8.6 (-41 to 23)	0.60	0.60	-1.7 (-17 to 14)	0.83	0.83
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.2 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0147, R2c: 0.9143

alpha_avg_power R2m: 0.0186, R2c: 0.8542

beta_avg_power R2m: 0.0046, R2c: 0.9524

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.50 (0.10 to 0.90)	0.014	0.055	0.89 (0.21 to 1.6)	0.011	0.043	1.0 (0.63 to 1.4)	<0.001	<0.001
speed_cond_num	0.02 (-0.60 to 0.64)	0.94	0.94	0.22 (-0.92 to 1.4)	0.71	0.94	-0.62 (-1.2 to -0.07)	0.026	0.053
mean_StanceDur	-0.10 (-0.30 to 0.11)	0.36	0.48	0.37 (-0.01 to 0.75)	0.057	0.11	0.00 (-0.17 to 0.18)	0.97	0.97
speed_cond_num * mean_StanceDur	0.56 (-0.49 to 1.6)	0.30	0.48	0.00 (-1.9 to 1.9)	0.99	0.99	0.92 (-0.01 to 1.9)	0.053	0.071
subj_char.sd__(Intercept)	0.87 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0139, R2c: 0.9112

alpha_avg_power R2m: 0.0075, R2c: 0.8629

beta_avg_power R2m: 0.0093, R2c: 0.9553

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.54 (0.11 to 0.96)	0.013	0.053	0.86 (0.12 to 1.6)	0.023	0.091	1.0 (0.59 to 1.4)	<0.001	<0.001
speed_cond_num	-0.05 (-0.75 to 0.65)	0.89	0.89	0.17 (-1.1 to 1.5)	0.79	0.98	-0.79 (-1.4 to -0.17)	0.013	0.026
mean_GaitCycleDur	-0.08 (-0.23 to 0.08)	0.35	0.46	0.28 (-0.01 to 0.58)	0.058	0.12	0.02 (-0.12 to 0.15)	0.80	0.80
speed_cond_num * mean_GaitCycleDur	0.40 (-0.32 to 1.1)	0.28	0.46	0.01 (-1.3 to 1.3)	0.98	0.98	0.72 (0.08 to 1.4)	0.027	0.035
subj_char.sd__(Intercept)	0.87 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.014, R2c: 0.9111

alpha_avg_power R2m: 0.0076, R2c: 0.8631

beta_avg_power R2m: 0.0115, R2c: 0.9563

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.39 (0.07 to 0.71)	0.016	0.031	1.8 (1.3 to 2.4)	<0.001	<0.001	1.4 (1.1 to 1.8)	<0.001	<0.001
speed_cond_num	0.72 (0.24 to 1.2)	0.003	0.012	-0.33 (-1.2 to 0.56)	0.47	0.47	-0.14 (-0.57 to 0.28)	0.51	0.51
mean_PeakUpDownVel_mean	0.21 (-1.9 to 2.3)	0.84	0.84	-2.5 (-6.3 to 1.4)	0.21	0.28	-0.98 (-2.9 to 0.91)	0.31	0.51
speed_cond_num * mean_PeakUpDownVel_mean	-0.85 (-2.3 to 0.60)	0.25	0.34	2.2 (-0.59 to 4.9)	0.12	0.25	0.58 (-0.73 to 1.9)	0.39	0.51
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.014, R2c: 0.9137

alpha_avg_power R2m: 0.0042, R2c: 0.8618

beta_avg_power R2m: 0.0042, R2c: 0.9532

MEDIATION (C’ & B)) LME EEG ~ 1+kin+speed

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.47 (0.13 to 0.82)	0.008	0.012	1.3 (0.63 to 1.9)	<0.001	<0.001	2.2 (1.7 to 2.8)	<0.001	<0.001
speed_cond_num	0.27 (0.11 to 0.43)	<0.001	0.002	-0.06 (-0.28 to 0.16)	0.57	0.62	-0.21 (-0.36 to -0.07)	0.004	0.006
mean_APexc_COV	0.00 (-0.01 to 0.01)	0.89	0.89	0.00 (-0.01 to 0.02)	0.62	0.62	0.01 (-0.01 to 0.02)	0.31	0.31
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0082, R2c: 0.8474

alpha_avg_power R2m: 3e-04, R2c: 0.9503

beta_avg_power R2m: 0.0016, R2c: 0.9752

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.35 (-0.02 to 0.71)	0.066	0.10	0.89 (0.22 to 1.6)	0.009	0.027	2.2 (1.7 to 2.8)	<0.001	<0.001
speed_cond_num	0.32 (0.12 to 0.53)	0.002	0.006	0.16 (-0.13 to 0.45)	0.27	0.27	-0.18 (-0.37 to 0.01)	0.060	0.090
mean_APexc_mean	1.6 (-2.7 to 5.9)	0.47	0.47	7.4 (1.3 to 13)	0.018	0.027	1.6 (-2.4 to 5.7)	0.43	0.43
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.45 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0089, R2c: 0.8475

alpha_avg_power R2m: 0.0027, R2c: 0.952

beta_avg_power R2m: 0.0014, R2c: 0.9754

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.46 (0.21 to 0.72)	<0.001	0.001	1.4 (0.80 to 1.9)	<0.001	<0.001	2.4 (1.9 to 2.8)	<0.001	<0.001
speed_cond_num	0.28 (0.11 to 0.45)	0.001	0.002	-0.10 (-0.34 to 0.14)	0.40	0.60	-0.23 (-0.39 to -0.08)	0.003	0.005
mean_MLexc_COV	0.00 (-0.01 to 0.01)	0.89	0.89	0.00 (-0.01 to 0.02)	0.73	0.73	0.00 (-0.01 to 0.01)	0.97	0.97
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0082, R2c: 0.8474

alpha_avg_power R2m: 2e-04, R2c: 0.9504

beta_avg_power R2m: 0.0012, R2c: 0.9753

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.79 (0.32 to 1.3)	0.001	0.003	1.2 (0.41 to 2.0)	0.003	0.009	2.3 (1.7 to 2.9)	<0.001	<0.001
speed_cond_num	0.06 (-0.25 to 0.36)	0.71	0.71	0.03 (-0.41 to 0.47)	0.89	0.89	-0.21 (-0.50 to 0.08)	0.15	0.23
mean_MLexc_mean	-2.4 (-5.3 to 0.57)	0.11	0.17	1.3 (-3.0 to 5.5)	0.57	0.85	0.28 (-2.5 to 3.1)	0.84	0.84
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0133, R2c: 0.8508

alpha_avg_power R2m: 4e-04, R2c: 0.9501

beta_avg_power R2m: 0.0012, R2c: 0.9753

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.40 (-0.07 to 0.86)	0.093	0.14	1.0 (0.26 to 1.8)	0.009	0.027	2.5 (1.9 to 3.1)	<0.001	<0.001
speed_cond_num	0.30 (0.02 to 0.59)	0.036	0.11	0.12 (-0.28 to 0.52)	0.55	0.55	-0.32 (-0.58 to -0.05)	0.018	0.027
mean_StepDur	0.04 (-0.28 to 0.37)	0.79	0.79	0.28 (-0.18 to 0.73)	0.24	0.36	-0.11 (-0.41 to 0.19)	0.48	0.48
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0083, R2c: 0.847

alpha_avg_power R2m: 7e-04, R2c: 0.9509

beta_avg_power R2m: 0.0013, R2c: 0.9753

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.41 (0.06 to 0.76)	0.021	0.031	1.3 (0.63 to 1.9)	<0.001	<0.001	2.4 (1.9 to 3.0)	<0.001	<0.001
speed_cond_num	0.30 (0.07 to 0.53)	0.009	0.027	-0.01 (-0.33 to 0.30)	0.93	0.93	-0.28 (-0.49 to -0.07)	0.008	0.012
mean_StepDur_cov	0.01 (-0.03 to 0.04)	0.74	0.74	0.01 (-0.03 to 0.06)	0.58	0.86	-0.01 (-0.04 to 0.02)	0.58	0.58
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0083, R2c: 0.8469

alpha_avg_power R2m: 2e-04, R2c: 0.9505

beta_avg_power R2m: 0.0013, R2c: 0.9753

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.57 (0.10 to 1.0)	0.017	0.051	1.5 (0.71 to 2.3)	<0.001	<0.001	2.4 (1.8 to 3.0)	<0.001	<0.001
speed_cond_num	0.20 (-0.12 to 0.51)	0.23	0.34	-0.15 (-0.60 to 0.30)	0.51	0.74	-0.27 (-0.56 to 0.03)	0.074	0.11
mean_UDexc_COV	0.00 (-0.02 to 0.01)	0.60	0.60	0.00 (-0.03 to 0.02)	0.74	0.74	0.00 (-0.02 to 0.01)	0.82	0.82
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0085, R2c: 0.848

alpha_avg_power R2m: 2e-04, R2c: 0.9503

beta_avg_power R2m: 0.0012, R2c: 0.9753

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.44 (0.20 to 0.69)	<0.001	<0.001	1.3 (0.73 to 1.8)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001
speed_cond_num	0.23 (-0.18 to 0.64)	0.27	0.41	-0.51 (-1.1 to 0.07)	0.086	0.12	-0.28 (-0.66 to 0.11)	0.16	0.24
mean_UDexc_mean	1.5 (-12 to 15)	0.84	0.84	16 (-4.3 to 36)	0.12	0.12	1.5 (-12 to 15)	0.82	0.82
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0082, R2c: 0.8479

alpha_avg_power R2m: 0.0016, R2c: 0.9506

beta_avg_power R2m: 0.0012, R2c: 0.9753

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.41 (-0.01 to 0.83)	0.056	0.084	1.0 (0.31 to 1.8)	0.005	0.016	2.4 (1.9 to 3.0)	<0.001	<0.001
speed_cond_num	0.30 (0.02 to 0.59)	0.037	0.084	0.16 (-0.24 to 0.55)	0.44	0.44	-0.29 (-0.56 to -0.03)	0.026	0.040
mean_StanceDur	0.02 (-0.17 to 0.22)	0.81	0.81	0.19 (-0.08 to 0.46)	0.17	0.25	-0.05 (-0.22 to 0.13)	0.60	0.60
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0083, R2c: 0.847

alpha_avg_power R2m: 8e-04, R2c: 0.951

beta_avg_power R2m: 0.0013, R2c: 0.9753

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.40 (-0.07 to 0.86)	0.094	0.14	1.0 (0.26 to 1.8)	0.009	0.027	2.5 (1.9 to 3.1)	<0.001	<0.001
speed_cond_num	0.31 (0.02 to 0.59)	0.035	0.11	0.12 (-0.28 to 0.52)	0.55	0.55	-0.32 (-0.58 to -0.06)	0.018	0.027
mean_GaitCycleDur	0.02 (-0.14 to 0.18)	0.78	0.78	0.14 (-0.09 to 0.37)	0.24	0.36	-0.05 (-0.20 to 0.10)	0.48	0.48
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0083, R2c: 0.847

alpha_avg_power R2m: 7e-04, R2c: 0.9509

beta_avg_power R2m: 0.0013, R2c: 0.9753

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.45 (0.23 to 0.68)	<0.001	<0.001	1.4 (0.85 to 1.9)	<0.001	<0.001	2.3 (1.9 to 2.8)	<0.001	<0.001
speed_cond_num	0.26 (-0.30 to 0.82)	0.36	0.54	-0.55 (-1.3 to 0.26)	0.18	0.24	-0.47 (-1.0 to 0.06)	0.081	0.12
mean_PeakUpDownVel_mean	0.02 (-1.4 to 1.4)	0.97	0.97	1.2 (-0.81 to 3.2)	0.24	0.24	0.61 (-0.72 to 1.9)	0.37	0.37
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0082, R2c: 0.8474

alpha_avg_power R2m: 0.001, R2c: 0.9507

beta_avg_power R2m: 0.0015, R2c: 0.9754

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	-0.10 (-0.34 to 0.15)	0.43	0.43	2.4 (1.6 to 3.3)	<0.001	<0.001	3.3 (2.8 to 3.9)	<0.001	<0.001
speed_cond_num	0.26 (0.16 to 0.37)	<0.001	<0.001	-0.44 (-0.75 to -0.13)	0.005	0.008	-0.49 (-0.66 to -0.32)	<0.001	<0.001
mean_APexc_COV	0.01 (0.00 to 0.02)	0.031	0.047	0.01 (-0.01 to 0.03)	0.30	0.30	0.00 (-0.01 to 0.01)	0.91	0.91
subj_char.sd__(Intercept)	0.67 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0142, R2c: 0.899

alpha_avg_power R2m: 0.0035, R2c: 0.9353

beta_avg_power R2m: 0.0056, R2c: 0.9595

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.01 (-0.27 to 0.28)	0.96	0.96	2.5 (1.6 to 3.4)	<0.001	<0.001	3.4 (2.8 to 4.0)	<0.001	<0.001
speed_cond_num	0.27 (0.13 to 0.41)	<0.001	<0.001	-0.38 (-0.81 to 0.06)	0.091	0.14	-0.53 (-0.76 to -0.29)	<0.001	<0.001
mean_APexc_mean	1.2 (-1.9 to 4.3)	0.44	0.67	3.5 (-5.9 to 13)	0.46	0.46	-1.0 (-6.1 to 4.1)	0.70	0.70
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.009, R2c: 0.8933

alpha_avg_power R2m: 0.003, R2c: 0.9351

beta_avg_power R2m: 0.0057, R2c: 0.9595

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	-0.04 (-0.24 to 0.15)	0.66	0.66	2.5 (1.7 to 3.2)	<0.001	<0.001	3.3 (2.8 to 3.8)	<0.001	<0.001
speed_cond_num	0.14 (0.03 to 0.26)	0.012	0.019	-0.67 (-1.0 to -0.33)	<0.001	<0.001	-0.51 (-0.70 to -0.32)	<0.001	<0.001
mean_MLexc_COV	0.01 (0.00 to 0.02)	0.005	0.014	0.03 (0.00 to 0.06)	0.056	0.056	0.00 (-0.01 to 0.02)	0.76	0.76
subj_char.sd__(Intercept)	0.65 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.68 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0153, R2c: 0.8969

alpha_avg_power R2m: 0.0045, R2c: 0.9369

beta_avg_power R2m: 0.0056, R2c: 0.9596

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.23 (-0.12 to 0.58)	0.20	0.29	2.1 (0.96 to 3.2)	<0.001	<0.001	3.1 (2.4 to 3.8)	<0.001	<0.001
speed_cond_num	0.14 (-0.07 to 0.35)	0.18	0.29	-0.10 (-0.74 to 0.54)	0.76	0.76	-0.34 (-0.69 to 0.00)	0.053	0.080
mean_MLexc_mean	-0.99 (-3.2 to 1.2)	0.37	0.37	4.6 (-2.1 to 11)	0.18	0.26	1.7 (-1.9 to 5.3)	0.35	0.35
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0095, R2c: 0.8946

alpha_avg_power R2m: 0.0043, R2c: 0.9354

beta_avg_power R2m: 0.0061, R2c: 0.9598

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.07 (-0.27 to 0.40)	0.70	0.86	2.3 (1.2 to 3.4)	<0.001	<0.001	3.3 (2.7 to 4.0)	<0.001	<0.001
speed_cond_num	0.24 (0.05 to 0.44)	0.015	0.045	-0.26 (-0.85 to 0.34)	0.39	0.39	-0.48 (-0.80 to -0.16)	0.003	0.005
mean_StepDur	0.02 (-0.21 to 0.25)	0.86	0.86	0.32 (-0.37 to 1.0)	0.37	0.39	0.02 (-0.36 to 0.39)	0.94	0.94
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0084, R2c: 0.8932

alpha_avg_power R2m: 0.003, R2c: 0.935

beta_avg_power R2m: 0.0056, R2c: 0.9596

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.02 (-0.23 to 0.27)	0.85	0.85	2.6 (1.8 to 3.5)	<0.001	<0.001	3.5 (3.0 to 4.0)	<0.001	<0.001
speed_cond_num	0.27 (0.12 to 0.43)	<0.001	0.002	-0.44 (-0.90 to 0.03)	0.067	0.10	-0.59 (-0.84 to -0.34)	<0.001	<0.001
mean_StepDur_cov	0.01 (-0.01 to 0.03)	0.48	0.71	0.01 (-0.05 to 0.07)	0.74	0.74	-0.02 (-0.05 to 0.02)	0.33	0.33
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.8929

alpha_avg_power R2m: 0.0027, R2c: 0.9349

beta_avg_power R2m: 0.0059, R2c: 0.9594

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	-0.14 (-0.46 to 0.19)	0.42	0.42	3.0 (1.9 to 4.1)	<0.001	<0.001	3.4 (2.8 to 4.1)	<0.001	<0.001
speed_cond_num	0.38 (0.17 to 0.59)	<0.001	0.001	-0.67 (-1.3 to -0.02)	0.043	0.065	-0.56 (-0.91 to -0.21)	0.002	0.002
mean_UDexc_COV	0.01 (0.00 to 0.02)	0.11	0.17	-0.01 (-0.05 to 0.03)	0.56	0.56	0.00 (-0.02 to 0.02)	0.68	0.68
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0106, R2c: 0.8948

alpha_avg_power R2m: 0.0028, R2c: 0.9344

beta_avg_power R2m: 0.0057, R2c: 0.9595

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.10 (-0.08 to 0.28)	0.28	0.42	2.6 (1.9 to 3.3)	<0.001	<0.001	3.4 (3.0 to 3.9)	<0.001	<0.001
speed_cond_num	0.26 (0.00 to 0.53)	0.050	0.15	-1.0 (-1.8 to -0.21)	0.014	0.021	-0.15 (-0.59 to 0.28)	0.49	0.49
mean_UDexc_mean	-1.3 (-11 to 7.8)	0.78	0.78	19 (-8.7 to 47)	0.18	0.18	-13 (-28 to 2.4)	0.10	0.15
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0085, R2c: 0.8929

alpha_avg_power R2m: 0.004, R2c: 0.935

beta_avg_power R2m: 0.0069, R2c: 0.9606

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.06 (-0.25 to 0.36)	0.71	0.79	2.3 (1.3 to 3.3)	<0.001	<0.001	3.3 (2.7 to 3.9)	<0.001	<0.001
speed_cond_num	0.25 (0.06 to 0.45)	0.011	0.033	-0.19 (-0.77 to 0.40)	0.53	0.53	-0.45 (-0.77 to -0.13)	0.005	0.008
mean_StanceDur	0.02 (-0.11 to 0.15)	0.79	0.79	0.24 (-0.16 to 0.64)	0.24	0.35	0.03 (-0.18 to 0.25)	0.76	0.76
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0084, R2c: 0.8932

alpha_avg_power R2m: 0.0032, R2c: 0.9352

beta_avg_power R2m: 0.0056, R2c: 0.9597

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.07 (-0.27 to 0.40)	0.69	0.88	2.3 (1.2 to 3.4)	<0.001	<0.001	3.3 (2.7 to 4.0)	<0.001	<0.001
speed_cond_num	0.24 (0.05 to 0.44)	0.016	0.047	-0.26 (-0.85 to 0.34)	0.40	0.40	-0.48 (-0.80 to -0.16)	0.003	0.005
mean_GaitCycleDur	0.01 (-0.10 to 0.12)	0.88	0.88	0.16 (-0.18 to 0.50)	0.36	0.40	0.01 (-0.18 to 0.19)	0.94	0.94
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0084, R2c: 0.8932

alpha_avg_power R2m: 0.0031, R2c: 0.9351

beta_avg_power R2m: 0.0056, R2c: 0.9596

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.08 (-0.09 to 0.26)	0.34	0.53	2.7 (2.1 to 3.4)	<0.001	<0.001	3.4 (2.9 to 3.8)	<0.001	<0.001
speed_cond_num	0.07 (-0.29 to 0.42)	0.72	0.72	-1.0 (-2.1 to 0.09)	0.073	0.11	-0.11 (-0.70 to 0.48)	0.72	0.72
mean_PeakUpDownVel_mean	0.44 (-0.48 to 1.4)	0.35	0.53	1.3 (-1.5 to 4.2)	0.35	0.35	-1.0 (-2.6 to 0.49)	0.18	0.27
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0095, R2c: 0.8952

alpha_avg_power R2m: 0.0034, R2c: 0.9348

beta_avg_power R2m: 0.0065, R2c: 0.9602

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.14 (-0.09 to 0.37)	0.24	0.36	3.2 (2.5 to 4.0)	<0.001	<0.001	3.1 (2.6 to 3.6)	<0.001	<0.001
speed_cond_num	0.09 (-0.02 to 0.20)	0.10	0.29	-0.43 (-0.67 to -0.19)	<0.001	<0.001	-0.38 (-0.52 to -0.24)	<0.001	<0.001
mean_APexc_COV	0.00 (-0.01 to 0.01)	0.52	0.52	0.00 (-0.01 to 0.02)	0.64	0.64	0.00 (-0.01 to 0.01)	0.40	0.40
subj_char.sd__(Intercept)	0.53 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.32 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0024, R2c: 0.8238

alpha_avg_power R2m: 0.0027, R2c: 0.9515

beta_avg_power R2m: 0.0042, R2c: 0.9631

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.03 (-0.23 to 0.29)	0.83	0.83	2.6 (1.9 to 3.4)	<0.001	<0.001	2.8 (2.4 to 3.3)	<0.001	<0.001
speed_cond_num	0.16 (0.02 to 0.31)	0.029	0.086	-0.11 (-0.43 to 0.21)	0.51	0.51	-0.29 (-0.48 to -0.10)	0.003	0.004
mean_APexc_mean	2.5 (-0.65 to 5.7)	0.12	0.18	11 (3.5 to 18)	0.003	0.005	2.3 (-1.9 to 6.5)	0.28	0.28
subj_char.sd__(Intercept)	0.52 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.53 (NA to NA)			0.31 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0053, R2c: 0.823

alpha_avg_power R2m: 0.0062, R2c: 0.954

beta_avg_power R2m: 0.0042, R2c: 0.9633

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.09 (-0.09 to 0.26)	0.32	0.48	3.1 (2.4 to 3.7)	<0.001	<0.001	2.9 (2.5 to 3.3)	<0.001	<0.001
speed_cond_num	0.02 (-0.10 to 0.14)	0.73	0.73	-0.59 (-0.85 to -0.33)	<0.001	<0.001	-0.42 (-0.57 to -0.27)	<0.001	<0.001
mean_MLexc_COV	0.01 (0.00 to 0.02)	0.029	0.086	0.03 (0.00 to 0.05)	0.020	0.020	0.01 (0.00 to 0.02)	0.12	0.12
subj_char.sd__(Intercept)	0.52 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.53 (NA to NA)			0.31 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0086, R2c: 0.8256

alpha_avg_power R2m: 0.0047, R2c: 0.9537

beta_avg_power R2m: 0.0046, R2c: 0.9635

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.29 (-0.03 to 0.62)	0.079	0.24	3.0 (2.1 to 3.9)	<0.001	<0.001	3.1 (2.5 to 3.7)	<0.001	<0.001
speed_cond_num	0.02 (-0.18 to 0.23)	0.82	0.82	-0.23 (-0.71 to 0.24)	0.34	0.34	-0.42 (-0.70 to -0.14)	0.003	0.004
mean_MLexc_mean	-0.71 (-2.9 to 1.5)	0.52	0.78	2.6 (-2.4 to 7.6)	0.31	0.34	-0.71 (-3.7 to 2.2)	0.64	0.64
subj_char.sd__(Intercept)	0.53 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.32 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0025, R2c: 0.8232

alpha_avg_power R2m: 0.0033, R2c: 0.9518

beta_avg_power R2m: 0.004, R2c: 0.9626

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.03 (-0.29 to 0.35)	0.87	0.87	2.5 (1.6 to 3.4)	<0.001	<0.001	3.1 (2.6 to 3.7)	<0.001	<0.001
speed_cond_num	0.18 (-0.02 to 0.38)	0.070	0.21	0.04 (-0.40 to 0.48)	0.86	0.86	-0.44 (-0.70 to -0.18)	<0.001	0.001
mean_StepDur	0.14 (-0.09 to 0.36)	0.24	0.36	0.66 (0.15 to 1.2)	0.011	0.016	-0.11 (-0.41 to 0.19)	0.47	0.47
subj_char.sd__(Intercept)	0.52 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.53 (NA to NA)			0.32 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0034, R2c: 0.8216

alpha_avg_power R2m: 0.005, R2c: 0.953

beta_avg_power R2m: 0.004, R2c: 0.9625

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.05 (-0.18 to 0.28)	0.65	0.65	3.1 (2.3 to 3.8)	<0.001	<0.001	3.1 (2.6 to 3.5)	<0.001	<0.001
speed_cond_num	0.17 (0.02 to 0.33)	0.028	0.084	-0.28 (-0.63 to 0.06)	0.11	0.16	-0.42 (-0.62 to -0.22)	<0.001	<0.001
mean_StepDur_cov	0.02 (0.00 to 0.04)	0.12	0.18	0.03 (-0.02 to 0.08)	0.20	0.20	-0.01 (-0.04 to 0.02)	0.47	0.47
subj_char.sd__(Intercept)	0.53 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.32 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0042, R2c: 0.8249

alpha_avg_power R2m: 0.0031, R2c: 0.9522

beta_avg_power R2m: 0.004, R2c: 0.9626

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.13 (-0.18 to 0.45)	0.41	0.62	3.5 (2.7 to 4.4)	<0.001	<0.001	3.2 (2.6 to 3.7)	<0.001	<0.001
speed_cond_num	0.13 (-0.09 to 0.34)	0.25	0.62	-0.60 (-1.1 to -0.11)	0.016	0.024	-0.49 (-0.77 to -0.21)	<0.001	0.001
mean_UDexc_COV	0.00 (-0.01 to 0.01)	0.65	0.65	-0.01 (-0.04 to 0.02)	0.50	0.50	-0.01 (-0.02 to 0.01)	0.32	0.32
subj_char.sd__(Intercept)	0.53 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.32 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0018, R2c: 0.823

alpha_avg_power R2m: 0.0028, R2c: 0.9512

beta_avg_power R2m: 0.0041, R2c: 0.9629

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.13 (-0.03 to 0.29)	0.12	0.18	3.3 (2.7 to 3.9)	<0.001	<0.001	3.0 (2.6 to 3.4)	<0.001	<0.001
speed_cond_num	-0.18 (-0.45 to 0.09)	0.20	0.20	-0.48 (-1.1 to 0.15)	0.14	0.20	-0.25 (-0.61 to 0.12)	0.19	0.28
mean_UDexc_mean	9.7 (0.35 to 19)	0.042	0.13	1.1 (-20 to 23)	0.92	0.92	-4.3 (-17 to 8.3)	0.50	0.50
subj_char.sd__(Intercept)	0.52 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.32 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0091, R2c: 0.8252

alpha_avg_power R2m: 0.0026, R2c: 0.9514

beta_avg_power R2m: 0.0041, R2c: 0.9625

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.07 (-0.22 to 0.35)	0.66	0.66	2.6 (1.8 to 3.4)	<0.001	<0.001	3.1 (2.6 to 3.6)	<0.001	<0.001
speed_cond_num	0.17 (-0.03 to 0.37)	0.090	0.27	0.06 (-0.37 to 0.50)	0.78	0.78	-0.45 (-0.70 to -0.19)	<0.001	0.001
mean_StanceDur	0.07 (-0.06 to 0.20)	0.30	0.45	0.41 (0.11 to 0.70)	0.007	0.010	-0.07 (-0.24 to 0.11)	0.46	0.46
subj_char.sd__(Intercept)	0.52 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.53 (NA to NA)			0.32 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0028, R2c: 0.8216

alpha_avg_power R2m: 0.0049, R2c: 0.9532

beta_avg_power R2m: 0.004, R2c: 0.9625

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.03 (-0.29 to 0.34)	0.88	0.88	2.5 (1.6 to 3.4)	<0.001	<0.001	3.1 (2.6 to 3.7)	<0.001	<0.001
speed_cond_num	0.18 (-0.01 to 0.38)	0.069	0.21	0.04 (-0.40 to 0.48)	0.85	0.85	-0.44 (-0.70 to -0.18)	<0.001	0.001
mean_GaitCycleDur	0.07 (-0.04 to 0.18)	0.24	0.35	0.33 (0.08 to 0.58)	0.010	0.015	-0.05 (-0.20 to 0.10)	0.49	0.49
subj_char.sd__(Intercept)	0.52 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.53 (NA to NA)			0.32 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0034, R2c: 0.8216

alpha_avg_power R2m: 0.005, R2c: 0.953

beta_avg_power R2m: 0.004, R2c: 0.9625

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.19 (0.04 to 0.33)	0.011	0.032	3.3 (2.8 to 3.9)	<0.001	<0.001	3.0 (2.6 to 3.4)	<0.001	<0.001
speed_cond_num	-0.17 (-0.54 to 0.19)	0.35	0.35	0.11 (-0.73 to 0.95)	0.81	0.81	0.09 (-0.40 to 0.58)	0.72	0.72
mean_PeakUpDownVel_mean	0.68 (-0.25 to 1.6)	0.15	0.23	-1.5 (-3.6 to 0.67)	0.18	0.27	-1.2 (-2.4 to 0.05)	0.059	0.089
subj_char.sd__(Intercept)	0.52 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.31 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8219

alpha_avg_power R2m: 0.0036, R2c: 0.9517

beta_avg_power R2m: 0.0055, R2c: 0.9628

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.27 (0.02 to 0.52)	0.037	0.055	3.8 (3.1 to 4.5)	<0.001	<0.001	2.6 (2.2 to 2.9)	<0.001	<0.001
speed_cond_num	0.18 (0.08 to 0.27)	<0.001	0.001	-0.18 (-0.44 to 0.07)	0.16	0.24	-0.17 (-0.30 to -0.04)	0.013	0.019
mean_APexc_COV	0.00 (0.00 to 0.01)	0.19	0.19	0.00 (-0.02 to 0.02)	0.90	0.90	0.00 (0.00 to 0.01)	0.35	0.35
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0037, R2c: 0.9351

alpha_avg_power R2m: 4e-04, R2c: 0.948

beta_avg_power R2m: 0.002, R2c: 0.9516

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.28 (0.00 to 0.56)	0.049	0.074	3.6 (2.8 to 4.4)	<0.001	<0.001	2.6 (2.1 to 3.0)	<0.001	<0.001
speed_cond_num	0.20 (0.07 to 0.33)	0.003	0.009	-0.07 (-0.42 to 0.29)	0.71	0.71	-0.14 (-0.32 to 0.04)	0.13	0.19
mean_APexc_mean	1.4 (-1.4 to 4.2)	0.33	0.33	3.6 (-4.0 to 11)	0.35	0.53	1.4 (-2.4 to 5.3)	0.46	0.46
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0031, R2c: 0.9346

alpha_avg_power R2m: 8e-04, R2c: 0.9485

beta_avg_power R2m: 0.0017, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.36 (0.14 to 0.57)	0.001	0.003	3.8 (3.2 to 4.5)	<0.001	<0.001	2.7 (2.3 to 3.0)	<0.001	<0.001
speed_cond_num	0.14 (0.04 to 0.25)	0.007	0.010	-0.19 (-0.46 to 0.09)	0.18	0.28	-0.18 (-0.32 to -0.04)	0.013	0.020
mean_MLexc_COV	0.00 (-0.01 to 0.01)	0.67	0.67	0.00 (-0.02 to 0.02)	0.97	0.97	0.00 (-0.01 to 0.01)	0.75	0.75
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0026, R2c: 0.9341

alpha_avg_power R2m: 4e-04, R2c: 0.948

beta_avg_power R2m: 0.0016, R2c: 0.9516

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.54 (0.21 to 0.88)	0.002	0.005	3.7 (2.7 to 4.6)	<0.001	<0.001	2.4 (1.9 to 2.9)	<0.001	<0.001
speed_cond_num	0.05 (-0.14 to 0.24)	0.61	0.61	-0.08 (-0.60 to 0.43)	0.75	0.75	-0.04 (-0.30 to 0.22)	0.74	0.74
mean_MLexc_mean	-1.2 (-3.2 to 0.75)	0.23	0.34	1.2 (-4.0 to 6.5)	0.64	0.75	1.7 (-0.99 to 4.4)	0.22	0.33
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0036, R2c: 0.9347

alpha_avg_power R2m: 6e-04, R2c: 0.9483

beta_avg_power R2m: 0.0023, R2c: 0.9528

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.38 (0.06 to 0.70)	0.021	0.064	3.7 (2.7 to 4.6)	<0.001	<0.001	2.6 (2.2 to 3.1)	<0.001	<0.001
speed_cond_num	0.15 (-0.03 to 0.33)	0.093	0.14	-0.08 (-0.56 to 0.39)	0.73	0.73	-0.18 (-0.42 to 0.06)	0.14	0.21
mean_StepDur	0.00 (-0.20 to 0.20)	0.97	0.97	0.14 (-0.40 to 0.68)	0.61	0.73	0.01 (-0.26 to 0.28)	0.94	0.94
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0025, R2c: 0.9342

alpha_avg_power R2m: 5e-04, R2c: 0.9481

beta_avg_power R2m: 0.0015, R2c: 0.9516

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.37 (0.12 to 0.63)	0.003	0.010	4.2 (3.5 to 4.9)	<0.001	<0.001	2.7 (2.3 to 3.1)	<0.001	<0.001
speed_cond_num	0.15 (0.02 to 0.29)	0.024	0.036	-0.41 (-0.77 to -0.06)	0.024	0.035	-0.20 (-0.38 to -0.02)	0.032	0.048
mean_StepDur_cov	0.00 (-0.02 to 0.02)	0.99	0.99	-0.04 (-0.08 to 0.01)	0.10	0.10	0.00 (-0.03 to 0.02)	0.88	0.88
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0025, R2c: 0.9342

alpha_avg_power R2m: 0.0013, R2c: 0.9483

beta_avg_power R2m: 0.0015, R2c: 0.9515

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.22 (-0.12 to 0.55)	0.20	0.24	4.1 (3.1 to 5.0)	<0.001	<0.001	2.5 (2.1 to 3.0)	<0.001	<0.001
speed_cond_num	0.26 (0.06 to 0.47)	0.011	0.034	-0.35 (-0.90 to 0.20)	0.21	0.32	-0.11 (-0.39 to 0.17)	0.45	0.53
mean_UDexc_COV	0.01 (0.00 to 0.02)	0.24	0.24	-0.01 (-0.04 to 0.02)	0.53	0.53	0.00 (-0.01 to 0.02)	0.53	0.53
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0032, R2c: 0.9348

alpha_avg_power R2m: 6e-04, R2c: 0.9479

beta_avg_power R2m: 0.0017, R2c: 0.9518

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.30 (0.09 to 0.51)	0.005	0.016	3.8 (3.2 to 4.5)	<0.001	<0.001	2.7 (2.4 to 3.0)	<0.001	<0.001
speed_cond_num	-0.14 (-0.39 to 0.12)	0.29	0.29	-0.22 (-0.92 to 0.48)	0.54	0.81	0.01 (-0.34 to 0.37)	0.94	0.94
mean_UDexc_mean	11 (1.9 to 19)	0.018	0.026	1.1 (-23 to 25)	0.93	0.93	-7.4 (-20 to 4.8)	0.24	0.35
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0068, R2c: 0.936

alpha_avg_power R2m: 4e-04, R2c: 0.948

beta_avg_power R2m: 0.0024, R2c: 0.9512

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.39 (0.10 to 0.69)	0.010	0.029	3.6 (2.8 to 4.5)	<0.001	<0.001	2.6 (2.2 to 3.0)	<0.001	<0.001
speed_cond_num	0.14 (-0.04 to 0.32)	0.12	0.18	-0.06 (-0.53 to 0.41)	0.80	0.80	-0.16 (-0.40 to 0.08)	0.20	0.31
mean_StanceDur	-0.01 (-0.13 to 0.11)	0.86	0.86	0.10 (-0.21 to 0.42)	0.53	0.79	0.03 (-0.13 to 0.19)	0.75	0.75
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0026, R2c: 0.9342

alpha_avg_power R2m: 6e-04, R2c: 0.9481

beta_avg_power R2m: 0.0015, R2c: 0.9517

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.38 (0.06 to 0.70)	0.021	0.064	3.7 (2.7 to 4.6)	<0.001	<0.001	2.6 (2.2 to 3.1)	<0.001	<0.001
speed_cond_num	0.15 (-0.03 to 0.33)	0.093	0.14	-0.09 (-0.56 to 0.39)	0.72	0.72	-0.18 (-0.42 to 0.06)	0.14	0.21
mean_GaitCycleDur	0.00 (-0.10 to 0.10)	0.97	0.97	0.07 (-0.20 to 0.34)	0.61	0.72	0.01 (-0.13 to 0.14)	0.93	0.93
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0025, R2c: 0.9342

alpha_avg_power R2m: 5e-04, R2c: 0.9481

beta_avg_power R2m: 0.0015, R2c: 0.9516

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.36 (0.16 to 0.56)	<0.001	0.001	3.8 (3.2 to 4.4)	<0.001	<0.001	2.7 (2.4 to 3.0)	<0.001	<0.001
speed_cond_num	-0.27 (-0.61 to 0.07)	0.12	0.12	0.15 (-0.78 to 1.1)	0.76	0.76	0.20 (-0.27 to 0.67)	0.39	0.39
mean_PeakUpDownVel_mean	1.1 (0.25 to 2.0)	0.011	0.017	-0.88 (-3.2 to 1.5)	0.46	0.69	-1.0 (-2.2 to 0.16)	0.090	0.13
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.21 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0071, R2c: 0.9367

alpha_avg_power R2m: 8e-04, R2c: 0.948

beta_avg_power R2m: 0.0031, R2c: 0.9514

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.56 (0.23 to 0.89)	<0.001	0.001	1.4 (0.84 to 1.9)	<0.001	<0.001	1.4 (1.1 to 1.8)	<0.001	<0.001
speed_cond_num	0.36 (0.22 to 0.49)	<0.001	<0.001	-0.17 (-0.42 to 0.08)	0.18	0.27	-0.25 (-0.37 to -0.14)	<0.001	<0.001
mean_APexc_COV	0.00 (-0.01 to 0.01)	0.61	0.61	0.01 (-0.01 to 0.02)	0.45	0.45	0.00 (-0.01 to 0.00)	0.35	0.35
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0128, R2c: 0.912

alpha_avg_power R2m: 0.0029, R2c: 0.856

beta_avg_power R2m: 0.004, R2c: 0.9535

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.51 (0.17 to 0.86)	0.004	0.006	0.80 (0.22 to 1.4)	0.007	0.010	1.0 (0.66 to 1.4)	<0.001	<0.001
speed_cond_num	0.36 (0.20 to 0.53)	<0.001	<0.001	0.12 (-0.18 to 0.42)	0.44	0.44	-0.11 (-0.25 to 0.04)	0.14	0.14
mean_APexc_mean	-0.18 (-4.1 to 3.8)	0.93	0.93	12 (4.7 to 19)	0.001	0.004	4.7 (1.2 to 8.2)	0.008	0.012
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.50 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0123, R2c: 0.9128

alpha_avg_power R2m: 0.016, R2c: 0.8656

beta_avg_power R2m: 0.0068, R2c: 0.9548

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.54 (0.27 to 0.80)	<0.001	<0.001	1.3 (0.88 to 1.7)	<0.001	<0.001	1.3 (0.97 to 1.6)	<0.001	<0.001
speed_cond_num	0.39 (0.25 to 0.54)	<0.001	<0.001	-0.37 (-0.64 to -0.10)	0.007	0.011	-0.26 (-0.39 to -0.14)	<0.001	<0.001
mean_MLexc_COV	0.00 (-0.01 to 0.01)	0.52	0.52	0.02 (0.00 to 0.05)	0.016	0.016	0.00 (-0.01 to 0.01)	0.39	0.39
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0126, R2c: 0.913

alpha_avg_power R2m: 0.0074, R2c: 0.8629

beta_avg_power R2m: 0.0037, R2c: 0.9528

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.37 (-0.07 to 0.81)	0.10	0.14	0.80 (0.04 to 1.6)	0.040	0.061	0.94 (0.50 to 1.4)	<0.001	<0.001
speed_cond_num	0.45 (0.19 to 0.71)	<0.001	0.002	0.26 (-0.22 to 0.74)	0.29	0.29	0.00 (-0.23 to 0.24)	0.97	0.97
mean_MLexc_mean	0.92 (-1.7 to 3.6)	0.50	0.50	5.4 (0.52 to 10)	0.030	0.061	2.8 (0.42 to 5.1)	0.021	0.031
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0129, R2c: 0.9132

alpha_avg_power R2m: 0.0109, R2c: 0.8592

beta_avg_power R2m: 0.0071, R2c: 0.9538

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.59 (0.18 to 1.0)	0.005	0.010	0.86 (0.14 to 1.6)	0.019	0.048	1.1 (0.71 to 1.5)	<0.001	<0.001
speed_cond_num	0.32 (0.09 to 0.54)	0.007	0.010	0.18 (-0.24 to 0.61)	0.40	0.40	-0.12 (-0.33 to 0.08)	0.23	0.23
mean_StepDur	-0.08 (-0.36 to 0.20)	0.59	0.59	0.57 (0.05 to 1.1)	0.032	0.048	0.17 (-0.09 to 0.42)	0.20	0.23
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0125, R2c: 0.9137

alpha_avg_power R2m: 0.0075, R2c: 0.8634

beta_avg_power R2m: 0.0042, R2c: 0.9535

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.54 (0.18 to 0.91)	0.003	0.005	1.4 (0.74 to 2.0)	<0.001	<0.001	1.4 (1.0 to 1.8)	<0.001	<0.001
speed_cond_num	0.34 (0.14 to 0.55)	0.001	0.003	-0.10 (-0.49 to 0.29)	0.61	0.61	-0.30 (-0.48 to -0.11)	0.001	0.002
mean_StepDur_cov	-0.01 (-0.04 to 0.03)	0.75	0.75	0.02 (-0.04 to 0.08)	0.50	0.61	-0.01 (-0.04 to 0.02)	0.40	0.40
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0124, R2c: 0.9128

alpha_avg_power R2m: 0.0023, R2c: 0.8581

beta_avg_power R2m: 0.0038, R2c: 0.9528

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.53 (0.06 to 1.0)	0.027	0.041	1.8 (0.93 to 2.6)	<0.001	<0.001	1.6 (1.1 to 2.1)	<0.001	<0.001
speed_cond_num	0.35 (0.05 to 0.65)	0.024	0.041	-0.36 (-0.92 to 0.21)	0.21	0.32	-0.42 (-0.69 to -0.15)	0.002	0.003
mean_UDexc_COV	0.00 (-0.02 to 0.02)	0.88	0.88	-0.01 (-0.04 to 0.02)	0.55	0.55	-0.01 (-0.03 to 0.00)	0.14	0.14
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0124, R2c: 0.9126

alpha_avg_power R2m: 0.0022, R2c: 0.8568

beta_avg_power R2m: 0.0045, R2c: 0.9528

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.48 (0.23 to 0.74)	<0.001	<0.001	1.4 (0.97 to 1.7)	<0.001	<0.001	1.3 (0.98 to 1.6)	<0.001	<0.001
speed_cond_num	0.30 (-0.07 to 0.67)	0.12	0.18	-1.1 (-1.7 to -0.37)	0.002	0.004	-0.41 (-0.75 to -0.08)	0.015	0.022
mean_UDexc_mean	2.5 (-9.6 to 15)	0.68	0.68	30 (7.4 to 52)	0.009	0.009	6.2 (-4.7 to 17)	0.26	0.26
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.2 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0125, R2c: 0.9129

alpha_avg_power R2m: 0.0164, R2c: 0.8552

beta_avg_power R2m: 0.0044, R2c: 0.9526

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.56 (0.18 to 0.94)	0.004	0.008	0.89 (0.24 to 1.6)	0.008	0.023	1.1 (0.75 to 1.5)	<0.001	<0.001
speed_cond_num	0.33 (0.10 to 0.56)	0.005	0.008	0.22 (-0.21 to 0.64)	0.31	0.31	-0.12 (-0.32 to 0.09)	0.25	0.25
mean_StanceDur	-0.03 (-0.20 to 0.13)	0.68	0.68	0.37 (0.06 to 0.68)	0.020	0.030	0.10 (-0.05 to 0.25)	0.18	0.25
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0124, R2c: 0.9133

alpha_avg_power R2m: 0.0076, R2c: 0.8633

beta_avg_power R2m: 0.0041, R2c: 0.9534

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.59 (0.18 to 1.0)	0.005	0.010	0.86 (0.14 to 1.6)	0.020	0.047	1.1 (0.70 to 1.5)	<0.001	<0.001
speed_cond_num	0.32 (0.09 to 0.54)	0.007	0.010	0.18 (-0.24 to 0.61)	0.40	0.40	-0.12 (-0.33 to 0.08)	0.24	0.24
mean_GaitCycleDur	-0.04 (-0.18 to 0.10)	0.60	0.60	0.29 (0.03 to 0.55)	0.032	0.047	0.08 (-0.04 to 0.21)	0.19	0.24
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0125, R2c: 0.9137

alpha_avg_power R2m: 0.0075, R2c: 0.8634

beta_avg_power R2m: 0.0042, R2c: 0.9535

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.51 (0.27 to 0.75)	<0.001	<0.001	1.5 (1.2 to 1.9)	<0.001	<0.001	1.3 (1.0 to 1.6)	<0.001	<0.001
speed_cond_num	0.68 (0.21 to 1.2)	0.005	0.007	-0.23 (-1.1 to 0.65)	0.61	0.92	-0.12 (-0.55 to 0.30)	0.57	0.59
mean_PeakUpDownVel_mean	-0.80 (-2.0 to 0.36)	0.18	0.18	0.06 (-2.1 to 2.2)	0.96	0.96	-0.28 (-1.3 to 0.76)	0.59	0.59
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0148, R2c: 0.9131

alpha_avg_power R2m: 0.0017, R2c: 0.8575

beta_avg_power R2m: 0.0037, R2c: 0.953

C) LME EEG ~ 1+kin

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.77 (0.46 to 1.1)	<0.001	<0.001	1.2 (0.61 to 1.8)	<0.001	<0.001	2.0 (1.5 to 2.5)	<0.001	<0.001
mean_APexc_COV	-0.01 (-0.02 to 0.00)	0.23	0.23	0.01 (-0.01 to 0.02)	0.47	0.47	0.01 (0.00 to 0.02)	0.042	0.042
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.34 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.77 (0.52 to 1.0)	<0.001	<0.001	1.1 (0.55 to 1.7)	<0.001	<0.001	2.0 (1.5 to 2.5)	<0.001	<0.001
mean_APexc_mean	-3.1 (-6.3 to 0.09)	0.057	0.057	5.0 (0.62 to 9.3)	0.025	0.025	4.3 (1.4 to 7.2)	0.003	0.003
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.34 (NA to NA)			0.45 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.49 (0.24 to 0.75)	<0.001	<0.001	1.3 (0.79 to 1.9)	<0.001	<0.001	2.3 (1.8 to 2.8)	<0.001	<0.001
mean_MLexc_COV	0.01 (0.00 to 0.02)	0.11	0.11	0.00 (-0.02 to 0.01)	0.93	0.93	-0.01 (-0.02 to 0.00)	0.091	0.091
subj_char.sd__(Intercept)	0.76 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.34 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.87 (0.64 to 1.1)	<0.001	<0.001	1.3 (0.72 to 1.8)	<0.001	<0.001	2.0 (1.5 to 2.5)	<0.001	<0.001
mean_MLexc_mean	-2.9 (-4.3 to -1.4)	<0.001	<0.001	0.99 (-1.0 to 3.0)	0.34	0.34	2.1 (0.77 to 3.4)	0.002	0.002
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.32 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.82 (0.58 to 1.1)	<0.001	<0.001	1.2 (0.67 to 1.8)	<0.001	<0.001	2.0 (1.5 to 2.5)	<0.001	<0.001
mean_StepDur	-0.25 (-0.42 to -0.08)	0.004	0.004	0.15 (-0.08 to 0.39)	0.20	0.20	0.20 (0.05 to 0.36)	0.011	0.011
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.76 (0.53 to 0.99)	<0.001	<0.001	1.3 (0.73 to 1.8)	<0.001	<0.001	2.1 (1.6 to 2.6)	<0.001	<0.001
mean_StepDur_cov	-0.03 (-0.05 to 0.00)	0.016	0.016	0.01 (-0.01 to 0.04)	0.34	0.34	0.02 (0.00 to 0.04)	0.029	0.029
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.82 (0.59 to 1.0)	<0.001	<0.001	1.3 (0.77 to 1.8)	<0.001	<0.001	2.1 (1.6 to 2.5)	<0.001	<0.001
mean_UDexc_COV	-0.01 (-0.02 to -0.01)	<0.001	<0.001	0.00 (-0.01 to 0.01)	0.59	0.59	0.01 (0.00 to 0.02)	0.004	0.004
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.41 (0.18 to 0.65)	<0.001	<0.001	1.4 (0.82 to 1.9)	<0.001	<0.001	2.4 (1.9 to 2.9)	<0.001	<0.001
mean_UDexc_mean	8.8 (3.7 to 14)	<0.001	<0.001	-0.67 (-7.8 to 6.4)	0.85	0.85	-7.3 (-12 to -2.7)	0.002	0.002
subj_char.sd__(Intercept)	0.78 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.79 (0.56 to 1.0)	<0.001	<0.001	1.2 (0.70 to 1.8)	<0.001	<0.001	2.1 (1.6 to 2.6)	<0.001	<0.001
mean_StanceDur	-0.15 (-0.25 to -0.05)	0.004	0.004	0.10 (-0.04 to 0.24)	0.16	0.16	0.12 (0.03 to 0.22)	0.009	0.009
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.82 (0.58 to 1.1)	<0.001	<0.001	1.2 (0.67 to 1.8)	<0.001	<0.001	2.0 (1.5 to 2.5)	<0.001	<0.001
mean_GaitCycleDur	-0.13 (-0.21 to -0.04)	0.004	0.004	0.08 (-0.04 to 0.20)	0.20	0.20	0.10 (0.02 to 0.18)	0.012	0.012
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 12
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.46 (0.24 to 0.68)	<0.001	<0.001	1.4 (0.84 to 1.9)	<0.001	<0.001	2.3 (1.9 to 2.8)	<0.001	<0.001
mean_PeakUpDownVel_mean	0.66 (0.28 to 1.0)	<0.001	<0.001	-0.12 (-0.64 to 0.40)	0.65	0.65	-0.53 (-0.87 to -0.19)	0.002	0.002
subj_char.sd__(Intercept)	0.77 (NA to NA)			2.0 (NA to NA)			1.9 (NA to NA)
Residual.sd__Observation	0.33 (NA to NA)			0.46 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0088, R2c: 0.849

alpha_avg_power R2m: 1e-04, R2c: 0.9505

beta_avg_power R2m: 0.0011, R2c: 0.975

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.19 (-0.03 to 0.41)	0.087	0.17	2.0 (1.2 to 2.7)	<0.001	<0.001	2.8 (2.3 to 3.3)	<0.001	<0.001
mean_APexc_COV	0.00 (-0.01 to 0.01)	0.60	0.60	0.02 (0.00 to 0.04)	0.047	0.047	0.01 (0.00 to 0.03)	0.049	0.049
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.70 (NA to NA)			0.40 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.38 (0.19 to 0.57)	<0.001	<0.001	2.0 (1.3 to 2.7)	<0.001	<0.001	2.7 (2.2 to 3.1)	<0.001	<0.001
mean_APexc_mean	-3.0 (-5.2 to -0.86)	0.006	0.006	9.5 (3.1 to 16)	0.004	0.004	7.4 (3.8 to 11)	<0.001	<0.001
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.39 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	-0.04 (-0.23 to 0.16)	0.70	0.70	2.4 (1.7 to 3.2)	<0.001	<0.001	3.3 (2.8 to 3.8)	<0.001	<0.001
mean_MLexc_COV	0.02 (0.01 to 0.03)	<0.001	<0.001	0.00 (-0.03 to 0.02)	0.91	0.91	-0.02 (-0.03 to -0.01)	0.006	0.006
subj_char.sd__(Intercept)	0.65 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.71 (NA to NA)			0.40 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.43 (0.25 to 0.61)	<0.001	<0.001	1.9 (1.3 to 2.6)	<0.001	<0.001	2.6 (2.2 to 3.1)	<0.001	<0.001
mean_MLexc_mean	-2.3 (-3.3 to -1.3)	<0.001	<0.001	5.5 (2.5 to 8.5)	<0.001	<0.001	4.9 (3.2 to 6.6)	<0.001	<0.001
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.68 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.41 (0.23 to 0.60)	<0.001	<0.001	2.0 (1.3 to 2.6)	<0.001	<0.001	2.6 (2.2 to 3.1)	<0.001	<0.001
mean_StepDur	-0.22 (-0.34 to -0.11)	<0.001	<0.001	0.57 (0.23 to 0.92)	<0.001	<0.001	0.50 (0.31 to 0.69)	<0.001	<0.001
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.38 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.34 (0.17 to 0.52)	<0.001	<0.001	2.1 (1.5 to 2.8)	<0.001	<0.001	2.8 (2.3 to 3.2)	<0.001	<0.001
mean_StepDur_cov	-0.02 (-0.03 to -0.01)	0.003	0.003	0.06 (0.02 to 0.10)	0.007	0.007	0.04 (0.02 to 0.07)	<0.001	<0.001
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.39 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.36 (0.18 to 0.54)	<0.001	<0.001	2.1 (1.4 to 2.8)	<0.001	<0.001	2.7 (2.3 to 3.2)	<0.001	<0.001
mean_UDexc_COV	-0.01 (-0.02 to 0.00)	0.001	0.001	0.02 (0.01 to 0.04)	0.009	0.009	0.02 (0.02 to 0.03)	<0.001	<0.001
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.38 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.06 (-0.12 to 0.24)	0.51	0.51	2.7 (2.1 to 3.4)	<0.001	<0.001	3.5 (3.0 to 3.9)	<0.001	<0.001
mean_UDexc_mean	7.2 (3.8 to 11)	<0.001	<0.001	-13 (-24 to -3.0)	0.011	0.011	-18 (-23 to -12)	<0.001	<0.001
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.37 (0.20 to 0.55)	<0.001	<0.001	2.0 (1.4 to 2.7)	<0.001	<0.001	2.7 (2.3 to 3.2)	<0.001	<0.001
mean_StanceDur	-0.13 (-0.20 to -0.06)	<0.001	<0.001	0.35 (0.15 to 0.56)	<0.001	<0.001	0.30 (0.19 to 0.41)	<0.001	<0.001
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.38 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.41 (0.23 to 0.60)	<0.001	<0.001	2.0 (1.3 to 2.6)	<0.001	<0.001	2.6 (2.2 to 3.1)	<0.001	<0.001
mean_GaitCycleDur	-0.11 (-0.17 to -0.05)	<0.001	<0.001	0.29 (0.12 to 0.46)	<0.001	<0.001	0.25 (0.16 to 0.34)	<0.001	<0.001
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.38 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 7
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.08 (-0.09 to 0.26)	0.34	0.34	2.7 (2.0 to 3.4)	<0.001	<0.001	3.4 (2.9 to 3.8)	<0.001	<0.001
mean_PeakUpDownVel_mean	0.60 (0.35 to 0.85)	<0.001	<0.001	-1.1 (-1.9 to -0.36)	0.004	0.004	-1.3 (-1.7 to -0.89)	<0.001	<0.001
subj_char.sd__(Intercept)	0.66 (NA to NA)			2.6 (NA to NA)			1.8 (NA to NA)
Residual.sd__Observation	0.23 (NA to NA)			0.69 (NA to NA)			0.37 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0056, R2c: 0.8889

alpha_avg_power R2m: 0.0022, R2c: 0.9349

beta_avg_power R2m: 0.0052, R2c: 0.9583

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.23 (0.03 to 0.43)	0.023	0.045	2.8 (2.1 to 3.4)	<0.001	<0.001	2.7 (2.2 to 3.1)	<0.001	<0.001
mean_APexc_COV	0.00 (-0.01 to 0.01)	0.85	0.85	0.01 (0.00 to 0.03)	0.14	0.14	0.00 (-0.01 to 0.01)	0.48	0.48
subj_char.sd__(Intercept)	0.53 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.56 (NA to NA)			0.34 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.25 (0.08 to 0.41)	0.004	0.008	2.5 (1.8 to 3.1)	<0.001	<0.001	2.4 (2.0 to 2.9)	<0.001	<0.001
mean_APexc_mean	0.05 (-2.2 to 2.3)	0.97	0.97	12 (7.3 to 17)	<0.001	<0.001	6.8 (3.8 to 9.8)	<0.001	<0.001
subj_char.sd__(Intercept)	0.53 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.53 (NA to NA)			0.32 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.09 (-0.08 to 0.26)	0.31	0.31	3.0 (2.4 to 3.7)	<0.001	<0.001	2.9 (2.4 to 3.3)	<0.001	<0.001
mean_MLexc_COV	0.01 (0.00 to 0.02)	0.008	0.015	0.00 (-0.02 to 0.02)	0.86	0.86	-0.01 (-0.02 to 0.01)	0.27	0.27
subj_char.sd__(Intercept)	0.52 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.56 (NA to NA)			0.34 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.33 (0.17 to 0.48)	<0.001	<0.001	2.6 (2.0 to 3.3)	<0.001	<0.001	2.5 (2.1 to 2.9)	<0.001	<0.001
mean_MLexc_mean	-0.92 (-2.0 to 0.17)	0.10	0.10	4.8 (2.3 to 7.2)	<0.001	<0.001	3.2 (1.7 to 4.7)	<0.001	<0.001
subj_char.sd__(Intercept)	0.53 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.32 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.28 (0.12 to 0.44)	<0.001	0.001	2.5 (1.9 to 3.2)	<0.001	<0.001	2.5 (2.1 to 2.9)	<0.001	<0.001
mean_StepDur	-0.04 (-0.16 to 0.08)	0.50	0.50	0.62 (0.36 to 0.89)	<0.001	<0.001	0.33 (0.17 to 0.49)	<0.001	<0.001
subj_char.sd__(Intercept)	0.53 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.53 (NA to NA)			0.32 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.25 (0.10 to 0.40)	<0.001	0.002	2.7 (2.1 to 3.3)	<0.001	<0.001	2.6 (2.2 to 3.0)	<0.001	<0.001
mean_StepDur_cov	0.00 (-0.01 to 0.01)	0.94	0.94	0.06 (0.03 to 0.09)	<0.001	<0.001	0.03 (0.01 to 0.05)	<0.001	<0.001
subj_char.sd__(Intercept)	0.53 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.54 (NA to NA)			0.33 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.29 (0.14 to 0.44)	<0.001	<0.001	2.8 (2.2 to 3.4)	<0.001	<0.001	2.6 (2.2 to 2.9)	<0.001	<0.001
mean_UDexc_COV	0.00 (-0.01 to 0.00)	0.26	0.26	0.02 (0.01 to 0.03)	0.003	0.003	0.02 (0.01 to 0.02)	<0.001	<0.001
subj_char.sd__(Intercept)	0.52 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.55 (NA to NA)			0.32 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.15 (0.00 to 0.31)	0.054	0.054	3.4 (2.8 to 4.0)	<0.001	<0.001	3.1 (2.7 to 3.5)	<0.001	<0.001
mean_UDexc_mean	4.0 (0.44 to 7.5)	0.028	0.054	-14 (-22 to -6.2)	<0.001	<0.001	-12 (-17 to -7.6)	<0.001	<0.001
subj_char.sd__(Intercept)	0.52 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.32 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.28 (0.13 to 0.43)	<0.001	<0.001	2.6 (2.0 to 3.2)	<0.001	<0.001	2.6 (2.2 to 3.0)	<0.001	<0.001
mean_StanceDur	-0.03 (-0.10 to 0.04)	0.45	0.45	0.37 (0.22 to 0.53)	<0.001	<0.001	0.19 (0.10 to 0.29)	<0.001	<0.001
subj_char.sd__(Intercept)	0.53 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.53 (NA to NA)			0.32 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.28 (0.12 to 0.44)	<0.001	0.001	2.5 (1.9 to 3.2)	<0.001	<0.001	2.5 (2.1 to 2.9)	<0.001	<0.001
mean_GaitCycleDur	-0.02 (-0.08 to 0.04)	0.50	0.50	0.31 (0.18 to 0.44)	<0.001	<0.001	0.16 (0.09 to 0.24)	<0.001	<0.001
subj_char.sd__(Intercept)	0.53 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.25 (NA to NA)			0.53 (NA to NA)			0.32 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 4
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.18 (0.04 to 0.33)	0.012	0.024	3.3 (2.8 to 3.9)	<0.001	<0.001	3.0 (2.6 to 3.4)	<0.001	<0.001
mean_PeakUpDownVel_mean	0.25 (-0.01 to 0.52)	0.059	0.059	-1.2 (-1.8 to -0.62)	<0.001	<0.001	-0.98 (-1.3 to -0.64)	<0.001	<0.001
subj_char.sd__(Intercept)	0.52 (NA to NA)			2.4 (NA to NA)			1.6 (NA to NA)
Residual.sd__Observation	0.24 (NA to NA)			0.54 (NA to NA)			0.31 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.001, R2c: 0.8204

alpha_avg_power R2m: 0.002, R2c: 0.9509

beta_avg_power R2m: 0.003, R2c: 0.9609

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.47 (0.24 to 0.70)	<0.001	<0.001	3.6 (2.9 to 4.3)	<0.001	<0.001	2.4 (2.0 to 2.7)	<0.001	<0.001
mean_APexc_COV	0.00 (-0.01 to 0.01)	0.95	0.95	0.01 (-0.01 to 0.02)	0.51	0.51	0.01 (0.00 to 0.02)	0.059	0.059
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.55 (0.34 to 0.77)	<0.001	<0.001	3.5 (2.9 to 4.1)	<0.001	<0.001	2.4 (2.0 to 2.7)	<0.001	<0.001
mean_APexc_mean	-1.7 (-3.7 to 0.23)	0.083	0.083	4.7 (-0.52 to 9.8)	0.078	0.078	3.6 (0.97 to 6.3)	0.007	0.007
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.37 (0.16 to 0.59)	<0.001	0.001	3.8 (3.2 to 4.5)	<0.001	<0.001	2.7 (2.3 to 3.0)	<0.001	<0.001
mean_MLexc_COV	0.01 (0.00 to 0.01)	0.053	0.053	-0.01 (-0.03 to 0.01)	0.44	0.44	-0.01 (-0.02 to 0.00)	0.091	0.091
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.61 (0.40 to 0.82)	<0.001	<0.001	3.5 (2.9 to 4.2)	<0.001	<0.001	2.4 (2.0 to 2.7)	<0.001	<0.001
mean_MLexc_mean	-1.7 (-2.6 to -0.73)	<0.001	<0.001	2.0 (-0.48 to 4.5)	0.11	0.11	2.1 (0.82 to 3.3)	0.001	0.001
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.59 (0.38 to 0.80)	<0.001	<0.001	3.5 (2.9 to 4.2)	<0.001	<0.001	2.4 (2.1 to 2.7)	<0.001	<0.001
mean_StepDur	-0.15 (-0.25 to -0.05)	0.004	0.004	0.22 (-0.05 to 0.50)	0.11	0.11	0.19 (0.05 to 0.33)	0.009	0.009
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.55 (0.35 to 0.75)	<0.001	<0.001	3.7 (3.1 to 4.3)	<0.001	<0.001	2.5 (2.1 to 2.8)	<0.001	<0.001
mean_StepDur_cov	-0.01 (-0.03 to 0.00)	0.016	0.016	0.00 (-0.03 to 0.03)	0.99	0.99	0.02 (0.00 to 0.03)	0.038	0.038
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.55 (0.35 to 0.76)	<0.001	<0.001	3.6 (3.0 to 4.2)	<0.001	<0.001	2.4 (2.1 to 2.7)	<0.001	<0.001
mean_UDexc_COV	-0.01 (-0.01 to 0.00)	0.015	0.015	0.01 (-0.01 to 0.02)	0.27	0.27	0.01 (0.00 to 0.02)	0.003	0.003
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.32 (0.11 to 0.52)	0.002	0.002	3.9 (3.2 to 4.5)	<0.001	<0.001	2.7 (2.4 to 3.0)	<0.001	<0.001
mean_UDexc_mean	6.2 (3.2 to 9.3)	<0.001	<0.001	-6.0 (-14 to 2.3)	0.16	0.16	-7.0 (-11 to -2.7)	0.001	0.001
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.59 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.57 (0.37 to 0.77)	<0.001	<0.001	3.6 (3.0 to 4.2)	<0.001	<0.001	2.4 (2.1 to 2.7)	<0.001	<0.001
mean_StanceDur	-0.09 (-0.15 to -0.03)	0.003	0.003	0.14 (-0.03 to 0.30)	0.10	0.10	0.12 (0.03 to 0.20)	0.006	0.006
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.59 (0.38 to 0.80)	<0.001	<0.001	3.5 (2.9 to 4.2)	<0.001	<0.001	2.4 (2.1 to 2.7)	<0.001	<0.001
mean_GaitCycleDur	-0.07 (-0.13 to -0.02)	0.004	0.004	0.11 (-0.03 to 0.25)	0.11	0.11	0.09 (0.02 to 0.16)	0.009	0.009
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 8
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.36 (0.16 to 0.56)	<0.001	<0.001	3.8 (3.2 to 4.5)	<0.001	<0.001	2.7 (2.4 to 3.0)	<0.001	<0.001
mean_PeakUpDownVel_mean	0.45 (0.23 to 0.68)	<0.001	<0.001	-0.53 (-1.1 to 0.09)	0.093	0.093	-0.53 (-0.84 to -0.22)	<0.001	<0.001
subj_char.sd__(Intercept)	0.82 (NA to NA)			2.5 (NA to NA)			1.3 (NA to NA)
Residual.sd__Observation	0.22 (NA to NA)			0.58 (NA to NA)			0.30 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0017, R2c: 0.9328

alpha_avg_power R2m: 3e-04, R2c: 0.9481

beta_avg_power R2m: 0.0018, R2c: 0.952

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.97 (0.67 to 1.3)	<0.001	<0.001	1.2 (0.72 to 1.7)	<0.001	<0.001	1.1 (0.79 to 1.5)	<0.001	<0.001
mean_APexc_COV	-0.01 (-0.02 to 0.00)	0.019	0.019	0.01 (-0.01 to 0.03)	0.20	0.20	0.00 (-0.01 to 0.01)	0.56	0.56
subj_char.sd__(Intercept)	0.86 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.30 (NA to NA)			0.52 (NA to NA)			0.25 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	1.0 (0.72 to 1.3)	<0.001	<0.001	0.96 (0.54 to 1.4)	<0.001	<0.001	0.88 (0.58 to 1.2)	<0.001	<0.001
mean_APexc_mean	-5.8 (-8.9 to -2.7)	<0.001	<0.001	10 (4.6 to 16)	<0.001	<0.001	6.4 (3.8 to 9.0)	<0.001	<0.001
subj_char.sd__(Intercept)	0.90 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.50 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.57 (0.30 to 0.84)	<0.001	<0.001	1.3 (0.85 to 1.7)	<0.001	<0.001	1.3 (0.95 to 1.6)	<0.001	<0.001
mean_MLexc_COV	0.01 (0.00 to 0.02)	0.029	0.029	0.01 (-0.01 to 0.03)	0.23	0.23	-0.01 (-0.01 to 0.00)	0.19	0.19
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.29 (NA to NA)			0.52 (NA to NA)			0.25 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.99 (0.74 to 1.2)	<0.001	<0.001	1.2 (0.77 to 1.5)	<0.001	<0.001	0.94 (0.65 to 1.2)	<0.001	<0.001
mean_MLexc_mean	-3.1 (-4.4 to -1.8)	<0.001	<0.001	3.1 (0.71 to 5.4)	0.011	0.011	2.7 (1.6 to 3.8)	<0.001	<0.001
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	1.0 (0.78 to 1.3)	<0.001	<0.001	1.1 (0.72 to 1.5)	<0.001	<0.001	0.95 (0.65 to 1.2)	<0.001	<0.001
mean_StepDur	-0.40 (-0.56 to -0.25)	<0.001	<0.001	0.38 (0.10 to 0.67)	0.009	0.009	0.29 (0.16 to 0.43)	<0.001	<0.001
subj_char.sd__(Intercept)	0.90 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.98 (0.73 to 1.2)	<0.001	<0.001	1.2 (0.86 to 1.6)	<0.001	<0.001	1.0 (0.75 to 1.3)	<0.001	<0.001
mean_StepDur_cov	-0.05 (-0.07 to -0.03)	<0.001	<0.001	0.03 (0.00 to 0.07)	0.079	0.079	0.02 (0.01 to 0.04)	0.006	0.006
subj_char.sd__(Intercept)	0.89 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.52 (NA to NA)			0.25 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	1.0 (0.75 to 1.2)	<0.001	<0.001	1.3 (0.92 to 1.7)	<0.001	<0.001	1.0 (0.74 to 1.3)	<0.001	<0.001
mean_UDexc_COV	-0.02 (-0.03 to -0.01)	<0.001	<0.001	0.01 (0.00 to 0.02)	0.20	0.20	0.01 (0.00 to 0.02)	0.002	0.002
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.52 (NA to NA)			0.25 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.45 (0.20 to 0.69)	<0.001	<0.001	1.5 (1.1 to 1.9)	<0.001	<0.001	1.3 (1.0 to 1.6)	<0.001	<0.001
mean_UDexc_mean	12 (7.6 to 16)	<0.001	<0.001	-2.8 (-11 to 5.0)	0.48	0.48	-6.6 (-10 to -2.9)	<0.001	<0.001
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.27 (NA to NA)			0.52 (NA to NA)			0.25 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.98 (0.73 to 1.2)	<0.001	<0.001	1.2 (0.79 to 1.5)	<0.001	<0.001	0.99 (0.70 to 1.3)	<0.001	<0.001
mean_StanceDur	-0.24 (-0.33 to -0.14)	<0.001	<0.001	0.23 (0.07 to 0.40)	0.007	0.007	0.17 (0.09 to 0.26)	<0.001	<0.001
subj_char.sd__(Intercept)	0.90 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	1.0 (0.78 to 1.3)	<0.001	<0.001	1.1 (0.72 to 1.5)	<0.001	<0.001	0.95 (0.65 to 1.2)	<0.001	<0.001
mean_GaitCycleDur	-0.20 (-0.28 to -0.12)	<0.001	<0.001	0.19 (0.05 to 0.33)	0.009	0.009	0.15 (0.08 to 0.21)	<0.001	<0.001
subj_char.sd__(Intercept)	0.90 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.51 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513

Changes in mean_UDexc_COV for Cluster: 11
Characteristic	THETA			ALPHA			BETA
	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2	Beta (95% CI)1	p-value	q-value2
(Intercept)	0.52 (0.28 to 0.76)	<0.001	<0.001	1.5 (1.2 to 1.9)	<0.001	<0.001	1.3 (1.0 to 1.6)	<0.001	<0.001
mean_PeakUpDownVel_mean	0.81 (0.50 to 1.1)	<0.001	<0.001	-0.48 (-1.1 to 0.10)	0.10	0.10	-0.58 (-0.85 to -0.31)	<0.001	<0.001
subj_char.sd__(Intercept)	0.88 (NA to NA)			1.3 (NA to NA)			1.1 (NA to NA)
Residual.sd__Observation	0.28 (NA to NA)			0.52 (NA to NA)			0.24 (NA to NA)
1 CI = Confidence Interval
2 False discovery rate correction for multiple testing

theta_avg_power R2m: 0.0127, R2c: 0.9103

alpha_avg_power R2m: 0.0012, R2c: 0.858

beta_avg_power R2m: 0.0024, R2c: 0.9513